A micro introduction to Bayesian modeling with BRMS
Julin Maloof
Frequentist vs Bayesian Statistics
Frequentist Statistics
- What is the probability of the data given a hypothesis
- Theory relies on data that is not observed
- Accept or reject null hypothesis
- Does not require use of priors
Bayesian
- What is the probability of the hypothesis given the data
- Does not rely on unobserved data
- Evaluate ratio of probabilities for different hypotheses
- Requires specification of prior beliefs (not as bad as it sounds!)
Prior probabilities
- Bayesian methods require that we specify prior probabilities on the model parameters
- This might sound like we are cheating
- Instead we use relatively uninformative priors
- As long as we have set relatively weak (uninformative) priors, the data will overwhelm the priors
- (Although if we do have prior information we can use informative priors)
Sampling
- Bayesian model fitting requires sampling different parameter values
- For each set of parameters test, calculate the probability of the model, given the data
- Similar to what we discussed two weeks ago with the
nlsfunction
- Similar to what we discussed two weeks ago with the
- Difference is that for
nlsthe goal was just to find the “BEST” set of parameters - For Bayesian we need to sample enough to define the probability “landscape”
- Typically several thousand sets of parameter values are sampled
Posterior probabilities
- One output of Bayesian model fitting is a set of posterior probabilities
- These will give us the distribution of possible parameter values for each model parameter, given the data and the priors
- We can do further tests/comparisons once we have these posterior probabilities
Diagnostics
- It is critically important to evaluate whether the sampling worked well
- Typically four sampling “chains” are run
Rhatcompares variance between and within chains. Should be < 1.05ESS(Effective sampling size) should be > 100 per chain
Let’s try it
Please create two objects
datsmallthat only retains observations from “2023-01-27”datsmallbcdthat only retains BH, CC, and DPR observations from “2023-01-27”
Check the number of “cores” on our computer
- Most computers have multiple “cores” or CPUs that can be used in parallel.
- Let’s check what we have. We will use this on the next slide.
What are the default priors?
- We will use what should now be a familiar formula to specify our model
- We can ask what priors would be used by default for our formula and data
prior class coef group resp dpar nlpar lb ub
(flat) b
(flat) b popCC
(flat) b popDPR
student_t(3, 3.5, 2.5) Intercept
student_t(3, 0, 2.5) sigma 0
source
default
(vectorized)
(vectorized)
default
default- They “b” class are the coefficients on fixed effects.
- They have a flat prior (all values from -Infinity to +Infinity are equally likely)
- We can do better than this while still not biasing the model (next slide)
- Student_t is like a fat-tailed normal distribution.
- The intercept is centered at 3.5,
- sigma (standard deviation) is centered at 0
Student vs normal
Fit a model with height being predicted by pop
- We use an uninformative prior for “b”, the coefficient for differences between pops
- We are setting this prior to be normally distributed, centered on 0, with a standard deviation of 10
- Note “b” refers to any fixed-effect coefficients. If we had multiple fixed effects we could give them all the same prior, or we could specify them individually.
- By default brms uses 4 chains
cores = 4means that we want each chain to run in parallel in a different CPU in our computer. - By default, each chain has 1,000 warm-up samples and 1,000 real samples
Fit a model with height being predicted by pop
CORRECTED: cores=4 not threads=4
The output shows us the progress of each chain
Model summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ pop
Data: datsmallbcd (Number of observations: 155)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Intercept 3.22 0.12 2.98 3.47 1.00 4278 2866
popCC 1.46 0.25 0.97 1.93 1.00 3895 3132
popDPR 1.91 0.31 1.30 2.51 1.00 4295 3206
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 1.25 0.07 1.12 1.39 1.00 4186 2810
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).Estimateis the estimated heightInterceptis for the reference population (BH in this case)popCCis the estimated difference between CC and BH
- 95% confidence intervals show our confidence in the estimate.
If they do not cross 0, then we are at least 95% confident that our differences are real - Be sure to check
Rhatand the twoESSstats. What did we want these to be?
Model plots
- On the left we see the distribution of the posterior probability
- Check for unusual pattern, bimodality, etc.
- If the posterior is near the edge of the range of the prior, consider adjusting the prior
- On the right we see the value for each parameter for each sample of each chain
- Should look relatively uniform from left to right and chains should look similar
what are the other priors?
Our posterior plots had two coefficients that we did not specify priors for. What was used?
prior class coef group resp dpar nlpar lb ub
normal(0,10) b
normal(0,10) b popCC
normal(0,10) b popDPR
student_t(3, 3.5, 2.5) Intercept
student_t(3, 0, 2.5) sigma 0
source
user
(vectorized)
(vectorized)
default
defaultBayesian hypothesis testing
- Is popCC really different from popBH?
- Looking for
Post_probto be near 1 (probability that hypothesis is true)Evid.Ratio> 3 (>3 = “moderate evidence”, > 10 = “strong evidence”)
Hypothesis Tests for class b:
Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio Post.Prob Star
1 (popCC) > 0 1.46 0.25 1.04 1.86 Inf 1 *
---
'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses.
'*': For one-sided hypotheses, the posterior probability exceeds 95%;
for two-sided hypotheses, the value tested against lies outside the 95%-CI.
Posterior probabilities of point hypotheses assume equal prior probabilities.Getting posterior probability for an estimate
Sometime I prefer to do this by “hand”
[1] 4000 12# A draws_df: 6 iterations, 1 chains, and 9 variables
b_Intercept b_popCC b_popDPR sigma prior_Intercept prior_b prior_sigma lprior
1 3.2 1.3 2.1 1.2 1.1 -6.0 5.3 -9.8
2 3.3 1.5 1.6 1.3 4.3 -6.1 29.5 -9.8
3 3.3 1.2 2.1 1.3 3.1 8.5 3.3 -9.8
4 3.2 1.6 2.3 1.2 5.3 9.3 2.2 -9.8
5 3.3 1.2 1.6 1.3 -5.7 16.0 3.8 -9.8
6 3.3 1.5 2.0 1.3 3.4 20.2 2.1 -9.8
# ... with 1 more variables
# ... hidden reserved variables {'.chain', '.iteration', '.draw'}How many draws are less than 0?
# A tibble: 1 × 1
CC_greater_than_zero
<dbl>
1 1- All 4000 posterior samples estimate the the CC coefficient is > 0
- This is very strong evidence the CC height is greater than BH height
Bayesian hypothesis testing
- Is popCC the same height as popDPR?
- Looking for
Post_probto be near 1 (probability that hypothesis is true)Evid.Ratioto > 3 (>3 = “moderate evidence”, > 10 = “strong evidence”)
Hypothesis Tests for class b:
Hypothesis Estimate Est.Error CI.Lower CI.Upper Evid.Ratio
1 (popCC)-(popDPR) = 0 -0.45 0.36 -1.16 0.24 18.09
Post.Prob Star
1 0.95
---
'CI': 90%-CI for one-sided and 95%-CI for two-sided hypotheses.
'*': For one-sided hypotheses, the posterior probability exceeds 95%;
for two-sided hypotheses, the value tested against lies outside the 95%-CI.
Posterior probabilities of point hypotheses assume equal prior probabilities.Fit a model with random effects:
- Really pop and block should probably both be random, but we will keep pop fixed for now
m2 <- brm(height_cm ~ pop + (1|block),
data = datsmallbcd,
prior = set_prior("normal(0,10)", class = "b"),
sample_prior = TRUE,
threads = 4)
SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000106 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.06 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
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Chain 4: Gradient evaluation took 1.2e-05 seconds
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Chain 4: what priors were used for random effects?
prior class coef group resp dpar nlpar lb ub
normal(0,10) b
normal(0,10) b popCC
normal(0,10) b popDPR
student_t(3, 3.5, 2.5) Intercept
student_t(3, 0, 2.5) sd 0
student_t(3, 0, 2.5) sd block 0
student_t(3, 0, 2.5) sd Intercept block 0
student_t(3, 0, 2.5) sigma 0
source
user
(vectorized)
(vectorized)
default
default
(vectorized)
(vectorized)
defaultCheck model sampling (do your own)
summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ pop + (1 | block)
Data: datsmallbcd (Number of observations: 155)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Group-Level Effects:
~block (Number of levels: 10)
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sd(Intercept) 0.50 0.20 0.20 0.99 1.00 1119 1964
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Intercept 3.23 0.20 2.82 3.62 1.00 1623 1574
popCC 1.42 0.24 0.93 1.89 1.00 4132 2506
popDPR 1.86 0.30 1.28 2.43 1.00 3796 2604
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 1.18 0.07 1.05 1.33 1.00 3864 3001
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).plots
Is it better than the model without the random effect?
elpd_diff se_diff
m2 0.0 0.0
m1 -5.1 3.3 - Preferred model is listed first
elpd_diffis how much worse a model is relative to the preferred model- Want this to be greater (ideally 2X greater) than
se_diffto favor the more complex model
Weibull in brms
Data set:
Use all dates for the Weibull modeling
Non-linear model specification in brms
Our formula specification is a bit more complex, so we use the function brmsformula to define the non-linear formula.
I am also going to rename a couple of the parameters to be more clear
- The first line should look familiar (Weibull formula)
- I am dividing k by 100 just to get it on a more reasonable scale
- The second line is new, and it defines how each parameter should be fit with respect to the predictors in our data set.
- The notation
Hmax + Hmin + k + delta ~ 1means that we want a single parameter value (Intercept) for each of the four parameters nl=TRUEtells brms that this is a non-linear formula.
get the priors
Please review your notes and figure out how to get the possible priors for the formula on the previous slide
prior class coef group resp dpar nlpar lb ub source
student_t(3, 0, 4.2) sigma 0 default
(flat) b delta default
(flat) b Intercept delta (vectorized)
(flat) b Hmax default
(flat) b Intercept Hmax (vectorized)
(flat) b Hmin default
(flat) b Intercept Hmin (vectorized)
(flat) b k default
(flat) b Intercept k (vectorized)Set the priors
What priors should we use?
Why gamma?
- Want to constrain k and delta to be > 0.
- Setting lower bounds causes problems
- Gamma distribution is positive
Fit the model
Get the summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ Hmax - (Hmax - Hmin) * exp(-(k/100 * day)^delta)
Hmax ~ 1
Hmin ~ 1
k ~ 1
delta ~ 1
Data: datbcd (Number of observations: 907)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Hmax_Intercept 65.44 1.51 62.59 68.58 1.00 1877 1887
Hmin_Intercept 4.25 0.55 3.17 5.31 1.00 2909 3087
k_Intercept 0.67 0.01 0.64 0.69 1.00 1685 1932
delta_Intercept 6.12 0.49 5.22 7.13 1.01 1535 2176
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 11.43 0.27 10.92 11.97 1.00 3342 2977
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).fit1 plots
fit 1 predictions
fit 1 plot predictions per pop
- Please write code to generate the plot below (you can do this by adding one function call to the code on the previous slide)
- In your own words, how did it do?
Allow a different Hmax for each pop {.nonincremental)}
- The plants from different pops grow to different heights. Maybe we should model that.
- With only 3 pops we will use a fixed effect. (Need 5+ for random effect)
- See below for how we specify that Hmax should take on a different value for each pop
get the priors
Please review your notes and figure out how to get the possible priors for the formula on the previous slide
prior class coef group resp dpar nlpar lb ub source
student_t(3, 0, 4.2) sigma 0 default
(flat) b delta default
(flat) b Intercept delta (vectorized)
(flat) b Hmax default
(flat) b Intercept Hmax (vectorized)
(flat) b popCC Hmax (vectorized)
(flat) b popDPR Hmax (vectorized)
(flat) b Hmin default
(flat) b Intercept Hmin (vectorized)
(flat) b k default
(flat) b Intercept k (vectorized)Set the priors
- Do these seem reasonable to you?
prior2 <- c(set_prior("normal(5,3)", nlpar="Hmin"),
set_prior("normal(60,15)", nlpar="Hmax"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popCC"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popDPR"),
set_prior("gamma(2,2)", nlpar = "k"), # gamma constrains to be > 0
set_prior("gamma(20, 3)", nlpar="delta")
)Fit model 2
Fit 2 summary
Any Problems?
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ Hmax - (Hmax - Hmin) * exp(-(k/100 * day)^delta)
Hmin ~ 1
k ~ 1
delta ~ 1
Hmax ~ pop
Data: datbcd (Number of observations: 907)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Hmin_Intercept 4.01 0.53 2.93 5.02 1.00 3411 2577
k_Intercept 0.66 0.01 0.64 0.68 1.00 2617 2542
delta_Intercept 6.03 0.44 5.21 6.92 1.00 2644 2407
Hmax_Intercept 65.55 1.50 62.75 68.60 1.00 2829 2434
Hmax_popCC 10.61 11.70 -11.44 34.13 1.00 4229 2942
Hmax_popDPR 49.12 12.40 25.56 73.00 1.00 3972 2481
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 11.28 0.27 10.77 11.82 1.00 3572 2405
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).Fit 2 plots
Any problems?
Fit 2 plot the predictions
Fit 2 Extend the CC and DPR curves out for all days
- It would be nice to get predictions for CC and DPR all the way out to day 200
- To do this, we create a data frame containing each day and pop for which we would like a prediction
- The function
expand_gridcreates a data frame with all combinations of the items it is given (days and pops in this case).
Fit 2 Extend the CC and DPR curves out for all days (slide 2)
- Now we use our prediction data frame to generate predictions
fit2.predictions <- cbind(pred.df, prediction=predict(fit2, newdata = pred.df)[,"Estimate"]) %>%
full_join(datbcd, by=c("day", "pop"))
fit2.predictions day pop prediction plantID survey_date block row col mf rep height_cm
1 30 CC 4.179711 D14B 2023-01-27 D1 4 B 5 12 3.7
2 30 CC 4.179711 D16B 2023-01-27 D1 6 B 3 10 2.3
3 30 CC 4.179711 D112A 2023-01-27 D1 12 A 7 4 4.1
4 30 CC 4.179711 D228B 2023-01-27 D2 28 B 2 13 4.1
5 30 CC 4.179711 D235A 2023-01-27 D2 35 A 1 11 5.4
6 30 CC 4.179711 D239A 2023-01-27 D2 39 A 5 7 3.6
7 30 CC 4.179711 D239B 2023-01-27 D2 39 B 4 5 5.1
8 30 CC 4.179711 D14C 2023-01-27 D1 4 C 4 9 0.9
9 30 CC 4.179711 F112A 2023-01-27 F1 12 A 6 3 6.5
10 30 CC 4.179711 F120B 2023-01-27 F1 20 B 2 4 6.0
11 30 CC 4.179711 F231A 2023-01-27 F2 31 A 7 8 4.9
12 30 CC 4.179711 F117D 2023-01-27 F1 17 D 3 13 4.7
13 30 CC 4.179711 F224C 2023-01-27 F2 24 C 1 6 3.4
14 30 CC 4.179711 F234D 2023-01-27 F2 34 D 3 12 5.6
15 30 CC 4.179711 H111B 2023-01-27 H1 11 B 7 2 6.8
16 30 CC 4.179711 H115B 2023-01-27 H1 15 B 3 3 5.5
17 30 CC 4.179711 H116A 2023-01-27 H1 16 A 4 10 6.3
18 30 CC 4.179711 H116B 2023-01-27 H1 16 B 6 6 4.4
19 30 CC 4.179711 H221A 2023-01-27 H2 21 A 3 5 4.8
20 30 CC 4.179711 H234B 2023-01-27 H2 34 B 4 7 3.4
21 30 CC 4.179711 H19D 2023-01-27 H1 9 D 2 2 4.8
22 30 CC 4.179711 H236C 2023-01-27 H2 36 C 2 1 5.6
23 30 CC 4.179711 J19D 2023-01-27 J1 9 D 2 6 3.8
24 30 CC 4.179711 J116C 2023-01-27 J1 16 C 6 4 5.6
25 30 CC 4.179711 J236C 2023-01-27 J2 36 C 5 5 4.2
26 30 CC 4.179711 J239C 2023-01-27 J2 39 C 2 3 6.9
27 30 CC 4.179711 J110A 2023-01-27 J1 10 A 3 2 6.3
28 30 CC 4.179711 J112B 2023-01-27 J1 12 B 4 4 4.1
29 30 CC 4.179711 J238B 2023-01-27 J2 38 B 3 9 4.6
30 30 CC 4.179711 L18A 2023-01-27 L1 8 A 4 6 3.4
31 30 CC 4.179711 L232A 2023-01-27 L2 32 A 5 3 5.5
32 30 CC 4.179711 L114D 2023-01-27 L1 14 D 1 1 3.9
33 30 CC 4.179711 L117C 2023-01-27 L1 17 C 7 3 4.2
34 30 BH 3.803480 D15B 2023-01-27 D1 5 B 5 24 3.9
35 30 BH 3.803480 D18B 2023-01-27 D1 8 B 6 7 2.2
36 30 BH 3.803480 D111B 2023-01-27 D1 11 B 7 4 3.7
37 30 BH 3.803480 D119B 2023-01-27 D1 19 B 2 8 3.7
38 30 BH 3.803480 D120A 2023-01-27 D1 20 A 4 2 3.3
39 30 BH 3.803480 D226B 2023-01-27 D2 26 B 5 15 2.7
40 30 BH 3.803480 D230B 2023-01-27 D2 30 B 4 3 3.0
41 30 BH 3.803480 D233B 2023-01-27 D2 33 B 6 8 2.2
42 30 BH 3.803480 D235B 2023-01-27 D2 35 B 5 25 2.6
43 30 BH 3.803480 D16C 2023-01-27 D1 6 C 4 12 3.1
44 30 BH 3.803480 D18D 2023-01-27 D1 8 D 7 17 1.6
45 30 BH 3.803480 D19C 2023-01-27 D1 9 C 1 8 2.1
46 30 BH 3.803480 D117C 2023-01-27 D1 17 C 5 14 3.2
47 30 BH 3.803480 D118D 2023-01-27 D1 18 D 3 5 2.3
48 30 BH 3.803480 D119D 2023-01-27 D1 19 D 5 9 1.4
49 30 BH 3.803480 D222C 2023-01-27 D2 22 C 7 18 1.4
50 30 BH 3.803480 D227C 2023-01-27 D2 27 C 7 5 3.1
51 30 BH 3.803480 D229C 2023-01-27 D2 29 C 4 13 3.3
52 30 BH 3.803480 D229D 2023-01-27 D2 29 D 2 9 2.9
53 30 BH 3.803480 D230D 2023-01-27 D2 30 D 1 10 2.3
54 30 BH 3.803480 D235D 2023-01-27 D2 35 D 3 6 3.7
55 30 BH 3.803480 F110A 2023-01-27 F1 10 A 7 19 2.9
56 30 BH 3.803480 F115A 2023-01-27 F1 15 A 6 9 3.6
57 30 BH 3.803480 F117B 2023-01-27 F1 17 B 2 10 3.4
58 30 BH 3.803480 F227A 2023-01-27 F2 27 A 7 7 3.4
59 30 BH 3.803480 F229B 2023-01-27 F2 29 B 4 5 4.8
60 30 BH 3.803480 F240A 2023-01-27 F2 40 A 3 8 3.6
61 30 BH 3.803480 F240B 2023-01-27 F2 40 B 5 12 6.5
62 30 BH 3.803480 F13C 2023-01-27 F1 3 C 5 16 2.9
63 30 BH 3.803480 F15C 2023-01-27 F1 5 C 5 26 2.9
64 30 BH 3.803480 F17D 2023-01-27 F1 7 D 7 6 3.5
65 30 BH 3.803480 F113C 2023-01-27 F1 13 C 3 7 2.8
66 30 BH 3.803480 F115C 2023-01-27 F1 15 C 4 4 3.4
67 30 BH 3.803480 F120C 2023-01-27 F1 20 C 5 11 5.1
68 30 BH 3.803480 F120D 2023-01-27 F1 20 D 5 1 2.9
69 30 BH 3.803480 F225C 2023-01-27 F2 25 C 7 20 2.4
70 30 BH 3.803480 F231C 2023-01-27 F2 31 C 6 10 3.0
71 30 BH 3.803480 F233C 2023-01-27 F2 33 C 5 17 3.0
72 30 BH 3.803480 F233D 2023-01-27 F2 33 D 2 11 3.6
73 30 BH 3.803480 F235C 2023-01-27 F2 35 C 5 27 3.2
74 30 BH 3.803480 F235D 2023-01-27 F2 35 D 2 1 3.7
75 30 BH 3.803480 H14B 2023-01-27 H1 4 B 2 12 4.5
76 30 BH 3.803480 H18B 2023-01-27 H1 8 B 3 9 3.2
77 30 BH 3.803480 H114A 2023-01-27 H1 14 A 5 3 6.9
78 30 BH 3.803480 H117A 2023-01-27 H1 17 A 4 6 2.3
79 30 BH 3.803480 H118B 2023-01-27 H1 18 B 5 18 3.5
80 30 BH 3.803480 H224B 2023-01-27 H2 24 B 5 29 4.5
81 30 BH 3.803480 H227A 2023-01-27 H2 27 A 5 4 4.5
82 30 BH 3.803480 H229B 2023-01-27 H2 29 B 5 19 3.2
83 30 BH 3.803480 H233A 2023-01-27 H2 33 A 3 10 2.5
84 30 BH 3.803480 H233B 2023-01-27 H2 33 B 4 7 2.9
85 30 BH 3.803480 H239A 2023-01-27 H2 39 A 7 9 3.0
86 30 BH 3.803480 H239B 2023-01-27 H2 39 B 6 2 3.5
87 30 BH 3.803480 H15C 2023-01-27 H1 5 C 5 28 4.6
88 30 BH 3.803480 H110C 2023-01-27 H1 10 C 6 11 4.1
89 30 BH 3.803480 H115D 2023-01-27 H1 15 D 5 13 4.1
90 30 BH 3.803480 H117C 2023-01-27 H1 17 C 2 2 3.5
91 30 BH 3.803480 H119C 2023-01-27 H1 19 C 7 21 4.5
92 30 BH 3.803480 H222D 2023-01-27 H2 22 D 2 3 2.8
93 30 BH 3.803480 H223C 2023-01-27 H2 23 C 7 22 2.8
94 30 BH 3.803480 H227D 2023-01-27 H2 27 D 6 12 2.8
95 30 BH 3.803480 H235C 2023-01-27 H2 35 C 2 13 2.5
96 30 BH 3.803480 J19C 2023-01-27 J1 9 C 5 30 4.4
97 30 BH 3.803480 J110C 2023-01-27 J1 10 C 3 1 1.7
98 30 BH 3.803480 J112C 2023-01-27 J1 12 C 7 23 2.0
99 30 BH 3.803480 J114D 2023-01-27 J1 14 D 4 8 3.3
100 30 BH 3.803480 J116D 2023-01-27 J1 16 D 5 5 2.7
101 30 BH 3.803480 J119C 2023-01-27 J1 19 C 5 20 4.3
102 30 BH 3.803480 J223D 2023-01-27 J2 23 D 4 9 4.3
103 30 BH 3.803480 J225D 2023-01-27 J2 25 D 2 5 1.9
104 30 BH 3.803480 J230C 2023-01-27 J2 30 C 4 14 4.4
105 30 BH 3.803480 J231C 2023-01-27 J2 31 C 5 6 6.1
106 30 BH 3.803480 J231D 2023-01-27 J2 31 D 7 14 2.7
107 30 BH 3.803480 J232D 2023-01-27 J2 32 D 3 12 3.5
108 30 BH 3.803480 J235C 2023-01-27 J2 35 C 7 11 1.5
109 30 BH 3.803480 J236D 2023-01-27 J2 36 D 5 21 3.0
110 30 BH 3.803480 J14B 2023-01-27 J1 4 B 2 4 2.3
111 30 BH 3.803480 J119B 2023-01-27 J1 19 B 3 11 3.8
112 30 BH 3.803480 J120B 2023-01-27 J1 20 B 7 10 2.2
113 30 BH 3.803480 J241B 2023-01-27 J2 41 B 6 4 5.5
114 30 BH 3.803480 J233A 2023-01-27 J2 33 A 3 2 3.0
115 30 BH 3.803480 J237B 2023-01-27 J2 37 B 1 7 3.0
116 30 BH 3.803480 L15B 2023-01-27 L1 5 B 2 6 2.8
117 30 BH 3.803480 L18B 2023-01-27 L1 8 B 7 2 3.3
118 30 BH 3.803480 L110A 2023-01-27 L1 10 A 2 14 1.4
119 30 BH 3.803480 L111B 2023-01-27 L1 11 B 3 3 2.7
120 30 BH 3.803480 L115A 2023-01-27 L1 15 A 5 7 3.0
121 30 BH 3.803480 L120A 2023-01-27 L1 20 A 7 15 2.3
122 30 BH 3.803480 L14D 2023-01-27 L1 4 D 4 10 2.1
123 30 BH 3.803480 L113C 2023-01-27 L1 13 C 3 13 2.4
124 30 BH 3.803480 L113D 2023-01-27 L1 13 D 5 22 3.7
125 30 BH 3.803480 L116C 2023-01-27 L1 16 C 6 5 4.4
126 30 BH 3.803480 L118D 2023-01-27 L1 18 D 7 12 3.7
127 30 BH 3.803480 L228C 2023-01-27 L2 28 C 6 6 3.1
128 30 BH 3.803480 L228D 2023-01-27 L2 28 D 2 7 2.9
129 30 BH 3.803480 L229D 2023-01-27 L2 29 D 3 14 1.2
130 30 BH 3.803480 L230C 2023-01-27 L2 30 C 4 11 4.5
131 30 BH 3.803480 L234C 2023-01-27 L2 34 C 5 8 3.6
132 30 BH 3.803480 L237D 2023-01-27 L2 37 D 7 16 2.6
133 30 BH 3.803480 L240D 2023-01-27 L2 40 D 7 13 3.8
134 30 BH 3.803480 L241D 2023-01-27 L2 41 D 4 1 3.3
135 30 BH 3.803480 L242C 2023-01-27 L2 42 C 7 3 2.0
136 30 DPR 4.123882 D117A 2023-01-27 D1 17 A 6 4 4.1
137 30 DPR 4.123882 D225A 2023-01-27 D2 25 A 2 7 8.5
138 30 DPR 4.123882 D227B 2023-01-27 D2 27 B 4 9 7.0
139 30 DPR 4.123882 F19A 2023-01-27 F1 9 A 2 5 6.5
140 30 DPR 4.123882 F232A 2023-01-27 F2 32 A 6 2 2.5
141 30 DPR 4.123882 F241A 2023-01-27 F2 41 A 2 4 5.5
142 30 DPR 4.123882 F16C 2023-01-27 F1 6 C 6 9 2.5
143 30 DPR 4.123882 F240C 2023-01-27 F2 40 C 7 4 5.4
144 30 DPR 4.123882 H117B 2023-01-27 H1 17 B 5 2 6.4
145 30 DPR 4.123882 H226A 2023-01-27 H2 26 A 4 13 3.5
146 30 DPR 4.123882 H17C 2023-01-27 H1 7 C 2 10 7.8
147 30 DPR 4.123882 H225C 2023-01-27 H2 25 C 2 6 7.5
148 30 DPR 4.123882 J121D 2023-01-27 J1 21 D 4 8 3.9
149 30 DPR 4.123882 J16B 2023-01-27 J1 6 B 6 10 4.1
150 30 DPR 4.123882 J232A 2023-01-27 J2 32 A 2 12 7.5
151 30 DPR 4.123882 J232B 2023-01-27 J2 32 B 6 11 3.2
152 30 DPR 4.123882 L119B 2023-01-27 L1 19 B 4 11 4.3
153 30 DPR 4.123882 L237B 2023-01-27 L2 37 B 6 3 2.3
154 30 DPR 4.123882 L116D 2023-01-27 L1 16 D 6 13 4.5
155 30 DPR 4.123882 L233C 2023-01-27 L2 33 C 2 2 5.4
156 31 CC 4.134878 <NA> <NA> <NA> NA <NA> <NA> NA NA
157 31 BH 4.285610 <NA> <NA> <NA> NA <NA> <NA> NA NA
158 31 DPR 3.998382 <NA> <NA> <NA> NA <NA> <NA> NA NA
159 32 CC 4.039877 <NA> <NA> <NA> NA <NA> <NA> NA NA
160 32 BH 4.023100 <NA> <NA> <NA> NA <NA> <NA> NA NA
161 32 DPR 3.894736 <NA> <NA> <NA> NA <NA> <NA> NA NA
162 33 CC 4.055874 <NA> <NA> <NA> NA <NA> <NA> NA NA
163 33 BH 3.882614 <NA> <NA> <NA> NA <NA> <NA> NA NA
164 33 DPR 3.847568 <NA> <NA> <NA> NA <NA> <NA> NA NA
165 34 CC 4.475893 <NA> <NA> <NA> NA <NA> <NA> NA NA
166 34 BH 4.031812 <NA> <NA> <NA> NA <NA> <NA> NA NA
167 34 DPR 4.133336 <NA> <NA> <NA> NA <NA> <NA> NA NA
168 35 CC 3.947568 <NA> <NA> <NA> NA <NA> <NA> NA NA
169 35 BH 3.979473 <NA> <NA> <NA> NA <NA> <NA> NA NA
170 35 DPR 3.855128 <NA> <NA> <NA> NA <NA> <NA> NA NA
171 36 CC 3.860387 <NA> <NA> <NA> NA <NA> <NA> NA NA
172 36 BH 4.384213 <NA> <NA> <NA> NA <NA> <NA> NA NA
173 36 DPR 3.995199 <NA> <NA> <NA> NA <NA> <NA> NA NA
174 37 CC 3.894625 <NA> <NA> <NA> NA <NA> <NA> NA NA
175 37 BH 4.429385 <NA> <NA> <NA> NA <NA> <NA> NA NA
176 37 DPR 4.176377 <NA> <NA> <NA> NA <NA> <NA> NA NA
177 38 CC 3.967851 <NA> <NA> <NA> NA <NA> <NA> NA NA
178 38 BH 4.213488 <NA> <NA> <NA> NA <NA> <NA> NA NA
179 38 DPR 4.189134 <NA> <NA> <NA> NA <NA> <NA> NA NA
180 39 CC 3.981096 <NA> <NA> <NA> NA <NA> <NA> NA NA
181 39 BH 3.911712 <NA> <NA> <NA> NA <NA> <NA> NA NA
182 39 DPR 4.291499 <NA> <NA> <NA> NA <NA> <NA> NA NA
183 40 CC 4.143798 <NA> <NA> <NA> NA <NA> <NA> NA NA
184 40 BH 4.216873 <NA> <NA> <NA> NA <NA> <NA> NA NA
185 40 DPR 3.956775 <NA> <NA> <NA> NA <NA> <NA> NA NA
186 41 CC 3.951514 <NA> <NA> <NA> NA <NA> <NA> NA NA
187 41 BH 4.072672 <NA> <NA> <NA> NA <NA> <NA> NA NA
188 41 DPR 3.698380 <NA> <NA> <NA> NA <NA> <NA> NA NA
189 42 CC 4.515231 <NA> <NA> <NA> NA <NA> <NA> NA NA
190 42 BH 3.892124 <NA> <NA> <NA> NA <NA> <NA> NA NA
191 42 DPR 3.833676 <NA> <NA> <NA> NA <NA> <NA> NA NA
192 43 CC 3.916465 <NA> <NA> <NA> NA <NA> <NA> NA NA
193 43 BH 4.103789 <NA> <NA> <NA> NA <NA> <NA> NA NA
194 43 DPR 4.262297 <NA> <NA> <NA> NA <NA> <NA> NA NA
195 44 CC 4.154131 <NA> <NA> <NA> NA <NA> <NA> NA NA
196 44 BH 3.830371 <NA> <NA> <NA> NA <NA> <NA> NA NA
197 44 DPR 3.992415 <NA> <NA> <NA> NA <NA> <NA> NA NA
198 45 CC 4.162432 <NA> <NA> <NA> NA <NA> <NA> NA NA
199 45 BH 4.007781 <NA> <NA> <NA> NA <NA> <NA> NA NA
200 45 DPR 4.315733 <NA> <NA> <NA> NA <NA> <NA> NA NA
201 46 CC 4.210873 <NA> <NA> <NA> NA <NA> <NA> NA NA
202 46 BH 4.270516 <NA> <NA> <NA> NA <NA> <NA> NA NA
203 46 DPR 4.169308 <NA> <NA> <NA> NA <NA> <NA> NA NA
204 47 CC 4.311016 <NA> <NA> <NA> NA <NA> <NA> NA NA
205 47 BH 4.164411 <NA> <NA> <NA> NA <NA> <NA> NA NA
206 47 DPR 4.055664 <NA> <NA> <NA> NA <NA> <NA> NA NA
207 48 CC 4.216497 <NA> <NA> <NA> NA <NA> <NA> NA NA
208 48 BH 3.831159 <NA> <NA> <NA> NA <NA> <NA> NA NA
209 48 DPR 4.308045 <NA> <NA> <NA> NA <NA> <NA> NA NA
210 49 CC 4.020645 <NA> <NA> <NA> NA <NA> <NA> NA NA
211 49 BH 4.167535 <NA> <NA> <NA> NA <NA> <NA> NA NA
212 49 DPR 4.056207 <NA> <NA> <NA> NA <NA> <NA> NA NA
213 50 CC 4.081845 <NA> <NA> <NA> NA <NA> <NA> NA NA
214 50 BH 3.889019 <NA> <NA> <NA> NA <NA> <NA> NA NA
215 50 DPR 3.896542 <NA> <NA> <NA> NA <NA> <NA> NA NA
216 51 CC 4.019384 D14B 2023-02-17 D1 4 B 5 12 3.4
217 51 CC 4.019384 D112A 2023-02-17 D1 12 A 7 4 4.3
218 51 CC 4.019384 D228B 2023-02-17 D2 28 B 2 13 4.0
219 51 CC 4.019384 D235A 2023-02-17 D2 35 A 1 11 5.5
220 51 CC 4.019384 D239A 2023-02-17 D2 39 A 5 7 3.8
221 51 CC 4.019384 D239B 2023-02-17 D2 39 B 4 5 5.2
222 51 CC 4.019384 F112A 2023-02-17 F1 12 A 6 3 6.1
223 51 CC 4.019384 F120B 2023-02-17 F1 20 B 2 4 5.6
224 51 CC 4.019384 F231A 2023-02-17 F2 31 A 7 8 4.1
225 51 CC 4.019384 F117D 2023-02-17 F1 17 D 3 13 4.6
226 51 CC 4.019384 F234D 2023-02-17 F2 34 D 3 12 5.5
227 51 CC 4.019384 H111B 2023-02-17 H1 11 B 7 2 7.6
228 51 CC 4.019384 H115B 2023-02-17 H1 15 B 3 3 6.1
229 51 CC 4.019384 H116A 2023-02-17 H1 16 A 4 10 6.1
230 51 CC 4.019384 H234B 2023-02-17 H2 34 B 4 7 2.9
231 51 CC 4.019384 H19D 2023-02-17 H1 9 D 2 2 4.0
232 51 CC 4.019384 H236C 2023-02-17 H2 36 C 2 1 6.2
233 51 CC 4.019384 J110A 2023-02-17 J1 10 A 3 2 6.5
234 51 CC 4.019384 J112B 2023-02-17 J1 12 B 4 4 4.5
235 51 CC 4.019384 J228A 2023-02-17 J2 28 A 5 6 3.6
236 51 CC 4.019384 J238B 2023-02-17 J2 38 B 3 9 3.5
237 51 CC 4.019384 J19D 2023-02-17 J1 9 D 2 6 3.1
238 51 CC 4.019384 J236C 2023-02-17 J2 36 C 5 5 4.9
239 51 CC 4.019384 J239C 2023-02-17 J2 39 C 2 3 7.7
240 51 CC 4.019384 L18A 2023-02-17 L1 8 A 4 6 4.1
241 51 CC 4.019384 L232A 2023-02-17 L2 32 A 5 3 5.9
242 51 CC 4.019384 L117C 2023-02-17 L1 17 C 7 3 4.9
243 51 BH 3.968905 D15B 2023-02-17 D1 5 B 5 24 4.3
244 51 BH 3.968905 D18B 2023-02-17 D1 8 B 6 7 2.9
245 51 BH 3.968905 D111B 2023-02-17 D1 11 B 7 4 3.5
246 51 BH 3.968905 D119B 2023-02-17 D1 19 B 2 8 3.3
247 51 BH 3.968905 D120A 2023-02-17 D1 20 A 4 2 3.9
248 51 BH 3.968905 D226B 2023-02-17 D2 26 B 5 15 3.0
249 51 BH 3.968905 D230B 2023-02-17 D2 30 B 4 3 3.9
250 51 BH 3.968905 D233B 2023-02-17 D2 33 B 6 8 2.2
251 51 BH 3.968905 D235B 2023-02-17 D2 35 B 5 25 1.9
252 51 BH 3.968905 D16C 2023-02-17 D1 6 C 4 12 4.7
253 51 BH 3.968905 D18D 2023-02-17 D1 8 D 7 17 1.5
254 51 BH 3.968905 D19C 2023-02-17 D1 9 C 1 8 24.0
255 51 BH 3.968905 D117C 2023-02-17 D1 17 C 5 14 2.9
256 51 BH 3.968905 D118D 2023-02-17 D1 18 D 3 5 2.2
257 51 BH 3.968905 D119D 2023-02-17 D1 19 D 5 9 0.9
258 51 BH 3.968905 D227C 2023-02-17 D2 27 C 7 5 3.4
259 51 BH 3.968905 D229C 2023-02-17 D2 29 C 4 13 3.4
260 51 BH 3.968905 D229D 2023-02-17 D2 29 D 2 9 3.3
261 51 BH 3.968905 D230D 2023-02-17 D2 30 D 1 10 2.1
262 51 BH 3.968905 D235D 2023-02-17 D2 35 D 3 6 4.0
263 51 BH 3.968905 F115A 2023-02-17 F1 15 A 6 9 4.1
264 51 BH 3.968905 F117B 2023-02-17 F1 17 B 2 10 3.0
265 51 BH 3.968905 F229B 2023-02-17 F2 29 B 4 5 5.1
266 51 BH 3.968905 F240B 2023-02-17 F2 40 B 5 12 4.2
267 51 BH 3.968905 F15C 2023-02-17 F1 5 C 5 26 2.9
268 51 BH 3.968905 F17D 2023-02-17 F1 7 D 7 6 3.1
269 51 BH 3.968905 F113C 2023-02-17 F1 13 C 3 7 2.9
270 51 BH 3.968905 F115C 2023-02-17 F1 15 C 4 4 3.5
271 51 BH 3.968905 F120D 2023-02-17 F1 20 D 5 1 1.7
272 51 BH 3.968905 F225C 2023-02-17 F2 25 C 7 20 2.2
273 51 BH 3.968905 F233C 2023-02-17 F2 33 C 5 17 3.1
274 51 BH 3.968905 F233D 2023-02-17 F2 33 D 2 11 3.7
275 51 BH 3.968905 F235C 2023-02-17 F2 35 C 5 27 3.5
276 51 BH 3.968905 F235D 2023-02-17 F2 35 D 2 1 3.6
277 51 BH 3.968905 H14B 2023-02-17 H1 4 B 2 12 5.2
278 51 BH 3.968905 H18B 2023-02-17 H1 8 B 3 9 3.3
279 51 BH 3.968905 H114A 2023-02-17 H1 14 A 5 3 7.4
280 51 BH 3.968905 H117A 2023-02-17 H1 17 A 4 6 3.5
281 51 BH 3.968905 H118B 2023-02-17 H1 18 B 5 18 3.2
282 51 BH 3.968905 H224B 2023-02-17 H2 24 B 5 29 4.6
283 51 BH 3.968905 H227A 2023-02-17 H2 27 A 5 4 3.9
284 51 BH 3.968905 H229B 2023-02-17 H2 29 B 5 19 3.1
285 51 BH 3.968905 H233B 2023-02-17 H2 33 B 4 7 2.5
286 51 BH 3.968905 H239B 2023-02-17 H2 39 B 6 2 3.9
287 51 BH 3.968905 H15C 2023-02-17 H1 5 C 5 28 4.7
288 51 BH 3.968905 H110C 2023-02-17 H1 10 C 6 11 4.0
289 51 BH 3.968905 H115D 2023-02-17 H1 15 D 5 13 4.5
290 51 BH 3.968905 H119C 2023-02-17 H1 19 C 7 21 4.1
291 51 BH 3.968905 H222D 2023-02-17 H2 22 D 2 3 2.4
292 51 BH 3.968905 H223C 2023-02-17 H2 23 C 7 22 3.2
293 51 BH 3.968905 H227D 2023-02-17 H2 27 D 6 12 3.8
294 51 BH 3.968905 H235C 2023-02-17 H2 35 C 2 13 2.2
295 51 BH 3.968905 J14B 2023-02-17 J1 4 B 2 4 2.6
296 51 BH 3.968905 J119B 2023-02-17 J1 19 B 3 11 4.2
297 51 BH 3.968905 J233A 2023-02-17 J2 33 A 3 2 3.1
298 51 BH 3.968905 J237B 2023-02-17 J2 37 B 1 7 2.7
299 51 BH 3.968905 J241B 2023-02-17 J2 41 B 6 4 4.5
300 51 BH 3.968905 J19C 2023-02-17 J1 9 C 5 30 5.5
301 51 BH 3.968905 J110C 2023-02-17 J1 10 C 3 1 1.9
302 51 BH 3.968905 J114D 2023-02-17 J1 14 D 4 8 3.4
303 51 BH 3.968905 J119C 2023-02-17 J1 19 C 5 20 5.3
304 51 BH 3.968905 J223D 2023-02-17 J2 23 D 4 9 1.7
305 51 BH 3.968905 J225D 2023-02-17 J2 25 D 2 5 1.9
306 51 BH 3.968905 J230C 2023-02-17 J2 30 C 4 14 5.3
307 51 BH 3.968905 J231C 2023-02-17 J2 31 C 5 6 7.1
308 51 BH 3.968905 J231D 2023-02-17 J2 31 D 7 14 4.8
309 51 BH 3.968905 J232D 2023-02-17 J2 32 D 3 12 3.4
310 51 BH 3.968905 J236D 2023-02-17 J2 36 D 5 21 25.0
311 51 BH 3.968905 L15B 2023-02-17 L1 5 B 2 6 2.9
312 51 BH 3.968905 L18B 2023-02-17 L1 8 B 7 2 2.7
313 51 BH 3.968905 L110A 2023-02-17 L1 10 A 2 14 0.6
314 51 BH 3.968905 L111B 2023-02-17 L1 11 B 3 3 2.1
315 51 BH 3.968905 L120A 2023-02-17 L1 20 A 7 15 2.3
316 51 BH 3.968905 L14D 2023-02-17 L1 4 D 4 10 2.2
317 51 BH 3.968905 L113C 2023-02-17 L1 13 C 3 13 2.2
318 51 BH 3.968905 L113D 2023-02-17 L1 13 D 5 22 4.7
319 51 BH 3.968905 L116C 2023-02-17 L1 16 C 6 5 4.4
320 51 BH 3.968905 L228C 2023-02-17 L2 28 C 6 6 2.4
321 51 BH 3.968905 L228D 2023-02-17 L2 28 D 2 7 2.8
322 51 BH 3.968905 L229D 2023-02-17 L2 29 D 3 14 1.9
323 51 BH 3.968905 L230C 2023-02-17 L2 30 C 4 11 4.4
324 51 BH 3.968905 L234C 2023-02-17 L2 34 C 5 8 4.1
325 51 BH 3.968905 L237D 2023-02-17 L2 37 D 7 16 3.6
326 51 BH 3.968905 L240D 2023-02-17 L2 40 D 7 13 4.1
327 51 BH 3.968905 L241D 2023-02-17 L2 41 D 4 1 3.5
328 51 DPR 4.292258 D225A 2023-02-17 D2 25 A 2 7 8.9
329 51 DPR 4.292258 D227B 2023-02-17 D2 27 B 4 9 7.2
330 51 DPR 4.292258 F19A 2023-02-17 F1 9 A 2 5 6.0
331 51 DPR 4.292258 F232A 2023-02-17 F2 32 A 6 2 2.0
332 51 DPR 4.292258 F16C 2023-02-17 F1 6 C 6 9 2.6
333 51 DPR 4.292258 F240C 2023-02-17 F2 40 C 7 4 6.3
334 51 DPR 4.292258 H117B 2023-02-17 H1 17 B 5 2 8.1
335 51 DPR 4.292258 H17C 2023-02-17 H1 7 C 2 10 8.2
336 51 DPR 4.292258 H225C 2023-02-17 H2 25 C 2 6 7.8
337 51 DPR 4.292258 J16B 2023-02-17 J1 6 B 6 10 3.6
338 51 DPR 4.292258 J232B 2023-02-17 J2 32 B 6 11 2.1
339 51 DPR 4.292258 L119B 2023-02-17 L1 19 B 4 11 3.7
340 51 DPR 4.292258 L237B 2023-02-17 L2 37 B 6 3 4.0
341 51 DPR 4.292258 L116D 2023-02-17 L1 16 D 6 13 4.0
342 51 DPR 4.292258 L233C 2023-02-17 L2 33 C 2 2 5.7
343 52 CC 3.817100 <NA> <NA> <NA> NA <NA> <NA> NA NA
344 52 BH 4.178649 <NA> <NA> <NA> NA <NA> <NA> NA NA
345 52 DPR 4.109877 <NA> <NA> <NA> NA <NA> <NA> NA NA
346 53 CC 3.751717 <NA> <NA> <NA> NA <NA> <NA> NA NA
347 53 BH 4.025464 <NA> <NA> <NA> NA <NA> <NA> NA NA
348 53 DPR 4.241984 <NA> <NA> <NA> NA <NA> <NA> NA NA
349 54 CC 3.951848 <NA> <NA> <NA> NA <NA> <NA> NA NA
350 54 BH 3.807669 <NA> <NA> <NA> NA <NA> <NA> NA NA
351 54 DPR 4.376220 <NA> <NA> <NA> NA <NA> <NA> NA NA
352 55 CC 4.275465 <NA> <NA> <NA> NA <NA> <NA> NA NA
353 55 BH 4.158485 <NA> <NA> <NA> NA <NA> <NA> NA NA
354 55 DPR 4.178879 <NA> <NA> <NA> NA <NA> <NA> NA NA
355 56 CC 3.911960 <NA> <NA> <NA> NA <NA> <NA> NA NA
356 56 BH 4.132348 <NA> <NA> <NA> NA <NA> <NA> NA NA
357 56 DPR 4.331887 <NA> <NA> <NA> NA <NA> <NA> NA NA
358 57 CC 4.097711 <NA> <NA> <NA> NA <NA> <NA> NA NA
359 57 BH 4.413554 <NA> <NA> <NA> NA <NA> <NA> NA NA
360 57 DPR 4.356327 <NA> <NA> <NA> NA <NA> <NA> NA NA
361 58 CC 4.220583 <NA> <NA> <NA> NA <NA> <NA> NA NA
362 58 BH 4.210526 <NA> <NA> <NA> NA <NA> <NA> NA NA
363 58 DPR 4.281331 <NA> <NA> <NA> NA <NA> <NA> NA NA
364 59 CC 4.406154 <NA> <NA> <NA> NA <NA> <NA> NA NA
365 59 BH 4.420057 <NA> <NA> <NA> NA <NA> <NA> NA NA
366 59 DPR 4.484808 <NA> <NA> <NA> NA <NA> <NA> NA NA
367 60 CC 3.950863 <NA> <NA> <NA> NA <NA> <NA> NA NA
368 60 BH 4.043791 <NA> <NA> <NA> NA <NA> <NA> NA NA
369 60 DPR 4.685506 <NA> <NA> <NA> NA <NA> <NA> NA NA
370 61 CC 4.146779 <NA> <NA> <NA> NA <NA> <NA> NA NA
371 61 BH 4.322911 <NA> <NA> <NA> NA <NA> <NA> NA NA
372 61 DPR 4.273247 <NA> <NA> <NA> NA <NA> <NA> NA NA
373 62 CC 4.155638 <NA> <NA> <NA> NA <NA> <NA> NA NA
374 62 BH 4.191693 <NA> <NA> <NA> NA <NA> <NA> NA NA
375 62 DPR 4.819814 <NA> <NA> <NA> NA <NA> <NA> NA NA
376 63 CC 4.488627 <NA> <NA> <NA> NA <NA> <NA> NA NA
377 63 BH 4.461917 <NA> <NA> <NA> NA <NA> <NA> NA NA
378 63 DPR 4.890417 <NA> <NA> <NA> NA <NA> <NA> NA NA
379 64 CC 4.244708 <NA> <NA> <NA> NA <NA> <NA> NA NA
380 64 BH 4.314203 <NA> <NA> <NA> NA <NA> <NA> NA NA
381 64 DPR 4.358447 <NA> <NA> <NA> NA <NA> <NA> NA NA
382 65 CC 4.594647 D112A 2023-03-03 D1 12 A 7 4 5.7
383 65 CC 4.594647 D235A 2023-03-03 D2 35 A 1 11 5.9
384 65 CC 4.594647 D239A 2023-03-03 D2 39 A 5 7 3.9
385 65 CC 4.594647 D239B 2023-03-03 D2 39 B 4 5 5.8
386 65 CC 4.594647 F231A 2023-03-03 F2 31 A 7 8 5.4
387 65 CC 4.594647 F117D 2023-03-03 F1 17 D 3 13 5.7
388 65 CC 4.594647 H111B 2023-03-03 H1 11 B 7 2 8.6
389 65 CC 4.594647 H115B 2023-03-03 H1 15 B 3 3 6.4
390 65 CC 4.594647 H116A 2023-03-03 H1 16 A 4 10 8.0
391 65 CC 4.594647 H234B 2023-03-03 H2 34 B 4 7 3.5
392 65 CC 4.594647 H236C 2023-03-03 H2 36 C 2 1 5.9
393 65 CC 4.594647 J112B 2023-03-03 J1 12 B 4 4 5.8
394 65 CC 4.594647 J228A 2023-03-03 J2 28 A 5 6 4.3
395 65 CC 4.594647 J236C 2023-03-03 J2 36 C 5 5 5.2
396 65 CC 4.594647 J239C 2023-03-03 J2 39 C 2 3 8.2
397 65 CC 4.594647 L18A 2023-03-03 L1 8 A 4 6 5.5
398 65 CC 4.594647 L232A 2023-03-03 L2 32 A 5 3 6.3
399 65 CC 4.594647 L117C 2023-03-03 L1 17 C 7 3 4.8
400 65 BH 4.400758 D18B 2023-03-03 D1 8 B 6 7 3.3
401 65 BH 4.400758 D120A 2023-03-03 D1 20 A 4 2 6.5
402 65 BH 4.400758 D226B 2023-03-03 D2 26 B 5 15 4.2
403 65 BH 4.400758 D230B 2023-03-03 D2 30 B 4 3 4.9
404 65 BH 4.400758 D233B 2023-03-03 D2 33 B 6 8 4.0
405 65 BH 4.400758 D16C 2023-03-03 D1 6 C 4 12 5.9
406 65 BH 4.400758 D19C 2023-03-03 D1 9 C 1 8 2.7
407 65 BH 4.400758 D119D 2023-03-03 D1 19 D 5 9 1.4
408 65 BH 4.400758 D229C 2023-03-03 D2 29 C 4 13 4.7
409 65 BH 4.400758 D229D 2023-03-03 D2 29 D 2 9 4.8
410 65 BH 4.400758 D235D 2023-03-03 D2 35 D 3 6 5.2
411 65 BH 4.400758 F115A 2023-03-03 F1 15 A 6 9 5.5
412 65 BH 4.400758 F229B 2023-03-03 F2 29 B 4 5 5.0
413 65 BH 4.400758 F240B 2023-03-03 F2 40 B 5 12 4.3
414 65 BH 4.400758 F15C 2023-03-03 F1 5 C 5 26 2.9
415 65 BH 4.400758 F113C 2023-03-03 F1 13 C 3 7 3.8
416 65 BH 4.400758 F115C 2023-03-03 F1 15 C 4 4 4.9
417 65 BH 4.400758 F235C 2023-03-03 F2 35 C 5 27 4.2
418 65 BH 4.400758 F235D 2023-03-03 F2 35 D 2 1 4.5
419 65 BH 4.400758 H14B 2023-03-03 H1 4 B 2 12 5.1
420 65 BH 4.400758 H18B 2023-03-03 H1 8 B 3 9 3.5
421 65 BH 4.400758 H114A 2023-03-03 H1 14 A 5 3 6.9
422 65 BH 4.400758 H117A 2023-03-03 H1 17 A 4 6 3.3
423 65 BH 4.400758 H118B 2023-03-03 H1 18 B 5 18 5.0
424 65 BH 4.400758 H224B 2023-03-03 H2 24 B 5 29 9.3
425 65 BH 4.400758 H227A 2023-03-03 H2 27 A 5 4 3.9
426 65 BH 4.400758 H229B 2023-03-03 H2 29 B 5 19 4.4
427 65 BH 4.400758 H233B 2023-03-03 H2 33 B 4 7 2.5
428 65 BH 4.400758 H239B 2023-03-03 H2 39 B 6 2 3.5
429 65 BH 4.400758 H15C 2023-03-03 H1 5 C 5 28 5.3
430 65 BH 4.400758 H110C 2023-03-03 H1 10 C 6 11 3.7
431 65 BH 4.400758 H115D 2023-03-03 H1 15 D 5 13 4.8
432 65 BH 4.400758 H119C 2023-03-03 H1 19 C 7 21 4.6
433 65 BH 4.400758 H222D 2023-03-03 H2 22 D 2 3 3.1
434 65 BH 4.400758 H223C 2023-03-03 H2 23 C 7 22 3.4
435 65 BH 4.400758 H235C 2023-03-03 H2 35 C 2 13 2.8
436 65 BH 4.400758 J14B 2023-03-03 J1 4 B 2 4 3.6
437 65 BH 4.400758 J119B 2023-03-03 J1 19 B 3 11 5.6
438 65 BH 4.400758 J233A 2023-03-03 J2 33 A 3 2 4.6
439 65 BH 4.400758 J237B 2023-03-03 J2 37 B 1 7 4.8
440 65 BH 4.400758 J19C 2023-03-03 J1 9 C 5 30 5.6
441 65 BH 4.400758 J110C 2023-03-03 J1 10 C 3 1 2.2
442 65 BH 4.400758 J114D 2023-03-03 J1 14 D 4 8 3.5
443 65 BH 4.400758 J119C 2023-03-03 J1 19 C 5 20 5.2
444 65 BH 4.400758 J223D 2023-03-03 J2 23 D 4 9 4.9
445 65 BH 4.400758 J225D 2023-03-03 J2 25 D 2 5 1.9
446 65 BH 4.400758 J230C 2023-03-03 J2 30 C 4 14 6.3
447 65 BH 4.400758 J231C 2023-03-03 J2 31 C 5 6 7.8
448 65 BH 4.400758 J231D 2023-03-03 J2 31 D 7 14 7.7
449 65 BH 4.400758 J232D 2023-03-03 J2 32 D 3 12 3.5
450 65 BH 4.400758 L15B 2023-03-03 L1 5 B 2 6 3.8
451 65 BH 4.400758 L18B 2023-03-03 L1 8 B 7 2 2.3
452 65 BH 4.400758 L110A 2023-03-03 L1 10 A 2 14 1.2
453 65 BH 4.400758 L111B 2023-03-03 L1 11 B 3 3 2.5
454 65 BH 4.400758 L14D 2023-03-03 L1 4 D 4 10 3.6
455 65 BH 4.400758 L113C 2023-03-03 L1 13 C 3 13 2.4
456 65 BH 4.400758 L113D 2023-03-03 L1 13 D 5 22 4.6
457 65 BH 4.400758 L116C 2023-03-03 L1 16 C 6 5 4.8
458 65 BH 4.400758 L228C 2023-03-03 L2 28 C 6 6 2.2
459 65 BH 4.400758 L228D 2023-03-03 L2 28 D 2 7 3.5
460 65 BH 4.400758 L229D 2023-03-03 L2 29 D 3 14 2.1
461 65 BH 4.400758 L230C 2023-03-03 L2 30 C 4 11 5.1
462 65 BH 4.400758 L234C 2023-03-03 L2 34 C 5 8 4.4
463 65 BH 4.400758 L240D 2023-03-03 L2 40 D 7 13 4.3
464 65 BH 4.400758 L241D 2023-03-03 L2 41 D 4 1 3.2
465 65 DPR 4.903883 D225A 2023-03-03 D2 25 A 2 7 9.3
466 65 DPR 4.903883 D227B 2023-03-03 D2 27 B 4 9 7.9
467 65 DPR 4.903883 F232A 2023-03-03 F2 32 A 6 2 2.7
468 65 DPR 4.903883 F16C 2023-03-03 F1 6 C 6 9 4.3
469 65 DPR 4.903883 F240C 2023-03-03 F2 40 C 7 4 5.8
470 65 DPR 4.903883 H117B 2023-03-03 H1 17 B 5 2 10.1
471 65 DPR 4.903883 H17C 2023-03-03 H1 7 C 2 10 9.2
472 65 DPR 4.903883 H225C 2023-03-03 H2 25 C 2 6 7.6
473 65 DPR 4.903883 J16B 2023-03-03 J1 6 B 6 10 4.5
474 65 DPR 4.903883 J232B 2023-03-03 J2 32 B 6 11 4.4
475 65 DPR 4.903883 L237B 2023-03-03 L2 37 B 6 3 5.1
476 66 CC 4.349152 <NA> <NA> <NA> NA <NA> <NA> NA NA
477 66 BH 4.348820 <NA> <NA> <NA> NA <NA> <NA> NA NA
478 66 DPR 4.846899 <NA> <NA> <NA> NA <NA> <NA> NA NA
479 67 CC 4.468296 <NA> <NA> <NA> NA <NA> <NA> NA NA
480 67 BH 4.639043 <NA> <NA> <NA> NA <NA> <NA> NA NA
481 67 DPR 4.780840 <NA> <NA> <NA> NA <NA> <NA> NA NA
482 68 CC 4.639013 <NA> <NA> <NA> NA <NA> <NA> NA NA
483 68 BH 4.680593 <NA> <NA> <NA> NA <NA> <NA> NA NA
484 68 DPR 5.183934 <NA> <NA> <NA> NA <NA> <NA> NA NA
485 69 CC 4.612849 <NA> <NA> <NA> NA <NA> <NA> NA NA
486 69 BH 4.496744 <NA> <NA> <NA> NA <NA> <NA> NA NA
487 69 DPR 4.792970 <NA> <NA> <NA> NA <NA> <NA> NA NA
488 70 CC 4.898392 <NA> <NA> <NA> NA <NA> <NA> NA NA
489 70 BH 4.505360 <NA> <NA> <NA> NA <NA> <NA> NA NA
490 70 DPR 5.156766 <NA> <NA> <NA> NA <NA> <NA> NA NA
491 71 CC 4.937836 <NA> <NA> <NA> NA <NA> <NA> NA NA
492 71 BH 4.752797 <NA> <NA> <NA> NA <NA> <NA> NA NA
493 71 DPR 5.070183 <NA> <NA> <NA> NA <NA> <NA> NA NA
494 72 CC 4.546545 <NA> <NA> <NA> NA <NA> <NA> NA NA
495 72 BH 4.977534 <NA> <NA> <NA> NA <NA> <NA> NA NA
496 72 DPR 5.201028 <NA> <NA> <NA> NA <NA> <NA> NA NA
497 73 CC 4.909303 <NA> <NA> <NA> NA <NA> <NA> NA NA
498 73 BH 4.365176 <NA> <NA> <NA> NA <NA> <NA> NA NA
499 73 DPR 5.325978 <NA> <NA> <NA> NA <NA> <NA> NA NA
500 74 CC 4.884729 <NA> <NA> <NA> NA <NA> <NA> NA NA
501 74 BH 4.884963 <NA> <NA> <NA> NA <NA> <NA> NA NA
502 74 DPR 5.325565 <NA> <NA> <NA> NA <NA> <NA> NA NA
503 75 CC 5.185708 <NA> <NA> <NA> NA <NA> <NA> NA NA
504 75 BH 4.746108 <NA> <NA> <NA> NA <NA> <NA> NA NA
505 75 DPR 5.717116 <NA> <NA> <NA> NA <NA> <NA> NA NA
506 76 CC 5.282582 <NA> <NA> <NA> NA <NA> <NA> NA NA
507 76 BH 5.057293 <NA> <NA> <NA> NA <NA> <NA> NA NA
508 76 DPR 5.482464 <NA> <NA> <NA> NA <NA> <NA> NA NA
509 77 CC 5.234717 <NA> <NA> <NA> NA <NA> <NA> NA NA
510 77 BH 5.285357 <NA> <NA> <NA> NA <NA> <NA> NA NA
511 77 DPR 5.892511 <NA> <NA> <NA> NA <NA> <NA> NA NA
512 78 CC 5.200374 <NA> <NA> <NA> NA <NA> <NA> NA NA
513 78 BH 5.329238 <NA> <NA> <NA> NA <NA> <NA> NA NA
514 78 DPR 5.957380 <NA> <NA> <NA> NA <NA> <NA> NA NA
515 79 CC 5.451101 D112A 2023-03-17 D1 12 A 7 4 5.4
516 79 CC 5.451101 D239A 2023-03-17 D2 39 A 5 7 3.9
517 79 CC 5.451101 D239B 2023-03-17 D2 39 B 4 5 5.2
518 79 CC 5.451101 F117D 2023-03-17 F1 17 D 3 13 7.2
519 79 CC 5.451101 H111B 2023-03-17 H1 11 B 7 2 12.3
520 79 CC 5.451101 H115B 2023-03-17 H1 15 B 3 3 9.7
521 79 CC 5.451101 H116A 2023-03-17 H1 16 A 4 10 9.1
522 79 CC 5.451101 H234B 2023-03-17 H2 34 B 4 7 3.4
523 79 CC 5.451101 H236C 2023-03-17 H2 36 C 2 1 6.1
524 79 CC 5.451101 J112B 2023-03-17 J1 12 B 4 4 6.3
525 79 CC 5.451101 J236C 2023-03-17 J2 36 C 5 5 7.2
526 79 CC 5.451101 L18A 2023-03-17 L1 8 A 4 6 4.2
527 79 CC 5.451101 L232A 2023-03-17 L2 32 A 5 3 5.9
528 79 CC 5.451101 L117C 2023-03-17 L1 17 C 7 3 5.4
529 79 BH 5.180753 D226B 2023-03-17 D2 26 B 5 15 5.3
530 79 BH 5.180753 D230B 2023-03-17 D2 30 B 4 3 6.1
531 79 BH 5.180753 D233B 2023-03-17 D2 33 B 6 8 5.6
532 79 BH 5.180753 D19C 2023-03-17 D1 9 C 1 8 2.6
533 79 BH 5.180753 D119D 2023-03-17 D1 19 D 5 9 2.1
534 79 BH 5.180753 D229C 2023-03-17 D2 29 C 4 13 4.3
535 79 BH 5.180753 D229D 2023-03-17 D2 29 D 2 9 4.9
536 79 BH 5.180753 D235D 2023-03-17 D2 35 D 3 6 5.3
537 79 BH 5.180753 F115A 2023-03-17 F1 15 A 6 9 8.0
538 79 BH 5.180753 F229B 2023-03-17 F2 29 B 4 5 5.9
539 79 BH 5.180753 F240B 2023-03-17 F2 40 B 5 12 5.1
540 79 BH 5.180753 F15C 2023-03-17 F1 5 C 5 26 3.0
541 79 BH 5.180753 F113C 2023-03-17 F1 13 C 3 7 4.1
542 79 BH 5.180753 F115C 2023-03-17 F1 15 C 4 4 4.5
543 79 BH 5.180753 F235C 2023-03-17 F2 35 C 5 27 5.5
544 79 BH 5.180753 F235D 2023-03-17 F2 35 D 2 1 4.6
545 79 BH 5.180753 H14B 2023-03-17 H1 4 B 2 12 5.5
546 79 BH 5.180753 H18B 2023-03-17 H1 8 B 3 9 6.5
547 79 BH 5.180753 H114A 2023-03-17 H1 14 A 5 3 6.2
548 79 BH 5.180753 H117A 2023-03-17 H1 17 A 4 6 3.6
549 79 BH 5.180753 H118B 2023-03-17 H1 18 B 5 18 5.0
550 79 BH 5.180753 H224B 2023-03-17 H2 24 B 5 29 8.5
551 79 BH 5.180753 H233B 2023-03-17 H2 33 B 4 7 3.5
552 79 BH 5.180753 H239B 2023-03-17 H2 39 B 6 2 4.0
553 79 BH 5.180753 H110C 2023-03-17 H1 10 C 6 11 5.6
554 79 BH 5.180753 H115D 2023-03-17 H1 15 D 5 13 5.6
555 79 BH 5.180753 H119C 2023-03-17 H1 19 C 7 21 6.5
556 79 BH 5.180753 H222D 2023-03-17 H2 22 D 2 3 4.4
557 79 BH 5.180753 H223C 2023-03-17 H2 23 C 7 22 4.9
558 79 BH 5.180753 H235C 2023-03-17 H2 35 C 2 13 4.8
559 79 BH 5.180753 J14B 2023-03-17 J1 4 B 2 4 4.5
560 79 BH 5.180753 J119B 2023-03-17 J1 19 B 3 11 5.3
561 79 BH 5.180753 J233A 2023-03-17 J2 33 A 3 2 4.7
562 79 BH 5.180753 J237B 2023-03-17 J2 37 B 1 7 5.3
563 79 BH 5.180753 J19C 2023-03-17 J1 9 C 5 30 8.9
564 79 BH 5.180753 J110C 2023-03-17 J1 10 C 3 1 3.9
565 79 BH 5.180753 J114D 2023-03-17 J1 14 D 4 8 3.8
566 79 BH 5.180753 J119C 2023-03-17 J1 19 C 5 20 7.1
567 79 BH 5.180753 J223D 2023-03-17 J2 23 D 4 9 5.2
568 79 BH 5.180753 J225D 2023-03-17 J2 25 D 2 5 3.0
569 79 BH 5.180753 J230C 2023-03-17 J2 30 C 4 14 8.3
570 79 BH 5.180753 J231C 2023-03-17 J2 31 C 5 6 9.2
571 79 BH 5.180753 J232D 2023-03-17 J2 32 D 3 12 4.5
572 79 BH 5.180753 L15B 2023-03-17 L1 5 B 2 6 4.2
573 79 BH 5.180753 L110A 2023-03-17 L1 10 A 2 14 2.0
574 79 BH 5.180753 L14D 2023-03-17 L1 4 D 4 10 3.8
575 79 BH 5.180753 L113C 2023-03-17 L1 13 C 3 13 3.6
576 79 BH 5.180753 L113D 2023-03-17 L1 13 D 5 22 6.5
577 79 BH 5.180753 L116C 2023-03-17 L1 16 C 6 5 7.9
578 79 BH 5.180753 L228D 2023-03-17 L2 28 D 2 7 5.1
579 79 BH 5.180753 L229D 2023-03-17 L2 29 D 3 14 3.1
580 79 BH 5.180753 L230C 2023-03-17 L2 30 C 4 11 6.6
581 79 BH 5.180753 L234C 2023-03-17 L2 34 C 5 8 4.9
582 79 BH 5.180753 L240D 2023-03-17 L2 40 D 7 13 6.0
583 79 BH 5.180753 L241D 2023-03-17 L2 41 D 4 1 4.6
584 79 DPR 6.359643 F232A 2023-03-17 F2 32 A 6 2 2.5
585 79 DPR 6.359643 F16C 2023-03-17 F1 6 C 6 9 6.6
586 79 DPR 6.359643 F240C 2023-03-17 F2 40 C 7 4 10.2
587 79 DPR 6.359643 H117B 2023-03-17 H1 17 B 5 2 17.0
588 79 DPR 6.359643 H17C 2023-03-17 H1 7 C 2 10 11.4
589 79 DPR 6.359643 H225C 2023-03-17 H2 25 C 2 6 12.4
590 79 DPR 6.359643 J16B 2023-03-17 J1 6 B 6 10 7.4
591 79 DPR 6.359643 J232B 2023-03-17 J2 32 B 6 11 4.2
592 79 DPR 6.359643 L237B 2023-03-17 L2 37 B 6 3 6.6
593 80 CC 5.458317 <NA> <NA> <NA> NA <NA> <NA> NA NA
594 80 BH 5.346463 <NA> <NA> <NA> NA <NA> <NA> NA NA
595 80 DPR 6.571951 <NA> <NA> <NA> NA <NA> <NA> NA NA
596 81 CC 5.505370 <NA> <NA> <NA> NA <NA> <NA> NA NA
597 81 BH 5.132736 <NA> <NA> <NA> NA <NA> <NA> NA NA
598 81 DPR 6.589102 <NA> <NA> <NA> NA <NA> <NA> NA NA
599 82 CC 6.032080 <NA> <NA> <NA> NA <NA> <NA> NA NA
600 82 BH 5.471146 <NA> <NA> <NA> NA <NA> <NA> NA NA
601 82 DPR 6.846597 <NA> <NA> <NA> NA <NA> <NA> NA NA
602 83 CC 6.179954 <NA> <NA> <NA> NA <NA> <NA> NA NA
603 83 BH 5.445137 <NA> <NA> <NA> NA <NA> <NA> NA NA
604 83 DPR 6.849081 <NA> <NA> <NA> NA <NA> <NA> NA NA
605 84 CC 6.098192 <NA> <NA> <NA> NA <NA> <NA> NA NA
606 84 BH 5.677515 <NA> <NA> <NA> NA <NA> <NA> NA NA
607 84 DPR 6.840962 <NA> <NA> <NA> NA <NA> <NA> NA NA
608 85 CC 6.364802 <NA> <NA> <NA> NA <NA> <NA> NA NA
609 85 BH 6.009689 <NA> <NA> <NA> NA <NA> <NA> NA NA
610 85 DPR 7.424297 <NA> <NA> <NA> NA <NA> <NA> NA NA
611 86 CC 6.497986 D112A 2023-03-24 D1 12 A 7 4 5.5
612 86 CC 6.497986 H111B 2023-03-24 H1 11 B 7 2 12.6
613 86 CC 6.497986 H115B 2023-03-24 H1 15 B 3 3 12.5
614 86 CC 6.497986 H116A 2023-03-24 H1 16 A 4 10 10.1
615 86 CC 6.497986 H234B 2023-03-24 H2 34 B 4 7 3.1
616 86 CC 6.497986 H236C 2023-03-24 H2 36 C 2 1 6.0
617 86 CC 6.497986 J112B 2023-03-24 J1 12 B 4 4 9.8
618 86 CC 6.497986 J236C 2023-03-24 J2 36 C 5 5 7.0
619 86 CC 6.497986 L18A 2023-03-24 L1 8 A 4 6 4.6
620 86 CC 6.497986 L232A 2023-03-24 L2 32 A 5 3 6.3
621 86 CC 6.497986 L117C 2023-03-24 L1 17 C 7 3 5.5
622 86 BH 6.327779 D226B 2023-03-24 D2 26 B 5 15 5.4
623 86 BH 6.327779 D230B 2023-03-24 D2 30 B 4 3 3.3
624 86 BH 6.327779 D233B 2023-03-24 D2 33 B 6 8 3.9
625 86 BH 6.327779 D119D 2023-03-24 D1 19 D 5 9 3.5
626 86 BH 6.327779 D229C 2023-03-24 D2 29 C 4 13 4.8
627 86 BH 6.327779 D229D 2023-03-24 D2 29 D 2 9 6.1
628 86 BH 6.327779 D235D 2023-03-24 D2 35 D 3 6 5.7
629 86 BH 6.327779 F115A 2023-03-24 F1 15 A 6 9 4.5
630 86 BH 6.327779 F229B 2023-03-24 F2 29 B 4 5 5.6
631 86 BH 6.327779 F240B 2023-03-24 F2 40 B 5 12 5.7
632 86 BH 6.327779 F115C 2023-03-24 F1 15 C 4 4 4.9
633 86 BH 6.327779 F235D 2023-03-24 F2 35 D 2 1 5.1
634 86 BH 6.327779 H14B 2023-03-24 H1 4 B 2 12 7.3
635 86 BH 6.327779 H18B 2023-03-24 H1 8 B 3 9 5.4
636 86 BH 6.327779 H114A 2023-03-24 H1 14 A 5 3 7.1
637 86 BH 6.327779 H224B 2023-03-24 H2 24 B 5 29 9.8
638 86 BH 6.327779 H233B 2023-03-24 H2 33 B 4 7 4.5
639 86 BH 6.327779 H110C 2023-03-24 H1 10 C 6 11 8.0
640 86 BH 6.327779 H115D 2023-03-24 H1 15 D 5 13 4.9
641 86 BH 6.327779 H119C 2023-03-24 H1 19 C 7 21 7.0
642 86 BH 6.327779 H222D 2023-03-24 H2 22 D 2 3 5.5
643 86 BH 6.327779 H223C 2023-03-24 H2 23 C 7 22 7.4
644 86 BH 6.327779 H235C 2023-03-24 H2 35 C 2 13 3.8
645 86 BH 6.327779 J14B 2023-03-24 J1 4 B 2 4 3.9
646 86 BH 6.327779 J119B 2023-03-24 J1 19 B 3 11 6.4
647 86 BH 6.327779 J233A 2023-03-24 J2 33 A 3 2 5.9
648 86 BH 6.327779 J237B 2023-03-24 J2 37 B 1 7 7.2
649 86 BH 6.327779 J19C 2023-03-24 J1 9 C 5 30 9.7
650 86 BH 6.327779 J110C 2023-03-24 J1 10 C 3 1 4.5
651 86 BH 6.327779 J119C 2023-03-24 J1 19 C 5 20 7.5
652 86 BH 6.327779 J223D 2023-03-24 J2 23 D 4 9 5.5
653 86 BH 6.327779 J225D 2023-03-24 J2 25 D 2 5 3.0
654 86 BH 6.327779 J230C 2023-03-24 J2 30 C 4 14 8.5
655 86 BH 6.327779 J231D 2023-03-24 J2 31 D 7 14 8.3
656 86 BH 6.327779 J232D 2023-03-24 J2 32 D 3 12 4.8
657 86 BH 6.327779 L15B 2023-03-24 L1 5 B 2 6 4.5
658 86 BH 6.327779 L110A 2023-03-24 L1 10 A 2 14 3.1
659 86 BH 6.327779 L14D 2023-03-24 L1 4 D 4 10 4.1
660 86 BH 6.327779 L113C 2023-03-24 L1 13 C 3 13 2.8
661 86 BH 6.327779 L113D 2023-03-24 L1 13 D 5 22 6.5
662 86 BH 6.327779 L228D 2023-03-24 L2 28 D 2 7 5.5
663 86 BH 6.327779 L229D 2023-03-24 L2 29 D 3 14 3.3
664 86 BH 6.327779 L230C 2023-03-24 L2 30 C 4 11 5.1
665 86 BH 6.327779 L240D 2023-03-24 L2 40 D 7 13 5.3
666 86 BH 6.327779 L241D 2023-03-24 L2 41 D 4 1 4.7
667 86 DPR 7.657962 F16C 2023-03-24 F1 6 C 6 9 9.1
668 86 DPR 7.657962 F240C 2023-03-24 F2 40 C 7 4 15.4
669 86 DPR 7.657962 H117B 2023-03-24 H1 17 B 5 2 21.7
670 86 DPR 7.657962 H17C 2023-03-24 H1 7 C 2 10 12.5
671 86 DPR 7.657962 H225C 2023-03-24 H2 25 C 2 6 18.4
672 86 DPR 7.657962 J16B 2023-03-24 J1 6 B 6 10 10.8
673 86 DPR 7.657962 J232B 2023-03-24 J2 32 B 6 11 4.4
674 86 DPR 7.657962 L237B 2023-03-24 L2 37 B 6 3 6.4
675 87 CC 6.800994 <NA> <NA> <NA> NA <NA> <NA> NA NA
676 87 BH 6.141755 <NA> <NA> <NA> NA <NA> <NA> NA NA
677 87 DPR 7.942002 <NA> <NA> <NA> NA <NA> <NA> NA NA
678 88 CC 7.056536 <NA> <NA> <NA> NA <NA> <NA> NA NA
679 88 BH 6.390540 <NA> <NA> <NA> NA <NA> <NA> NA NA
680 88 DPR 8.180654 <NA> <NA> <NA> NA <NA> <NA> NA NA
681 89 CC 7.436471 <NA> <NA> <NA> NA <NA> <NA> NA NA
682 89 BH 6.416927 <NA> <NA> <NA> NA <NA> <NA> NA NA
683 89 DPR 8.639910 <NA> <NA> <NA> NA <NA> <NA> NA NA
684 90 CC 7.226212 <NA> <NA> <NA> NA <NA> <NA> NA NA
685 90 BH 6.956599 <NA> <NA> <NA> NA <NA> <NA> NA NA
686 90 DPR 8.835446 <NA> <NA> <NA> NA <NA> <NA> NA NA
687 91 CC 7.191260 <NA> <NA> <NA> NA <NA> <NA> NA NA
688 91 BH 6.967425 <NA> <NA> <NA> NA <NA> <NA> NA NA
689 91 DPR 9.470547 <NA> <NA> <NA> NA <NA> <NA> NA NA
690 92 CC 7.642828 <NA> <NA> <NA> NA <NA> <NA> NA NA
691 92 BH 6.829581 <NA> <NA> <NA> NA <NA> <NA> NA NA
692 92 DPR 9.649409 <NA> <NA> <NA> NA <NA> <NA> NA NA
693 93 CC 7.902681 <NA> <NA> <NA> NA <NA> <NA> NA NA
694 93 BH 7.174991 <NA> <NA> <NA> NA <NA> <NA> NA NA
695 93 DPR 9.897973 <NA> <NA> <NA> NA <NA> <NA> NA NA
696 94 CC 8.341474 <NA> <NA> <NA> NA <NA> <NA> NA NA
697 94 BH 7.405078 <NA> <NA> <NA> NA <NA> <NA> NA NA
698 94 DPR 10.330867 <NA> <NA> <NA> NA <NA> <NA> NA NA
699 95 CC 8.262334 <NA> <NA> <NA> NA <NA> <NA> NA NA
700 95 BH 7.509571 <NA> <NA> <NA> NA <NA> <NA> NA NA
701 95 DPR 10.427684 <NA> <NA> <NA> NA <NA> <NA> NA NA
702 96 CC 8.740141 H111B 2023-04-03 H1 11 B 7 2 12.1
703 96 CC 8.740141 H115B 2023-04-03 H1 15 B 3 3 14.9
704 96 CC 8.740141 H116A 2023-04-03 H1 16 A 4 10 10.2
705 96 CC 8.740141 J112B 2023-04-03 J1 12 B 4 4 7.5
706 96 CC 8.740141 J236C 2023-04-03 J2 36 C 5 5 8.3
707 96 CC 8.740141 L117C 2023-04-03 L1 17 C 7 3 6.2
708 96 BH 7.977976 D226B 2023-04-03 D2 26 B 5 15 4.9
709 96 BH 7.977976 D230B 2023-04-03 D2 30 B 4 3 3.8
710 96 BH 7.977976 D119D 2023-04-03 D1 19 D 5 9 3.2
711 96 BH 7.977976 D229C 2023-04-03 D2 29 C 4 13 4.9
712 96 BH 7.977976 D229D 2023-04-03 D2 29 D 2 9 4.1
713 96 BH 7.977976 D235D 2023-04-03 D2 35 D 3 6 6.6
714 96 BH 7.977976 F115A 2023-04-03 F1 15 A 6 9 9.9
715 96 BH 7.977976 F229B 2023-04-03 F2 29 B 4 5 5.9
716 96 BH 7.977976 F240B 2023-04-03 F2 40 B 5 12 5.6
717 96 BH 7.977976 F115C 2023-04-03 F1 15 C 4 4 5.9
718 96 BH 7.977976 F235D 2023-04-03 F2 35 D 2 1 5.5
719 96 BH 7.977976 H14B 2023-04-03 H1 4 B 2 12 0.7
720 96 BH 7.977976 H18B 2023-04-03 H1 8 B 3 9 7.1
721 96 BH 7.977976 H114A 2023-04-03 H1 14 A 5 3 8.4
722 96 BH 7.977976 H224B 2023-04-03 H2 24 B 5 29 9.4
723 96 BH 7.977976 H233B 2023-04-03 H2 33 B 4 7 4.8
724 96 BH 7.977976 H110C 2023-04-03 H1 10 C 6 11 10.6
725 96 BH 7.977976 H119C 2023-04-03 H1 19 C 7 21 6.5
726 96 BH 7.977976 H223C 2023-04-03 H2 23 C 7 22 8.4
727 96 BH 7.977976 H235C 2023-04-03 H2 35 C 2 13 3.8
728 96 BH 7.977976 J14B 2023-04-03 J1 4 B 2 4 5.1
729 96 BH 7.977976 J119B 2023-04-03 J1 19 B 3 11 5.9
730 96 BH 7.977976 J233A 2023-04-03 J2 33 A 3 2 5.8
731 96 BH 7.977976 J237B 2023-04-03 J2 37 B 1 7 4.4
732 96 BH 7.977976 J19C 2023-04-03 J1 9 C 5 30 10.2
733 96 BH 7.977976 J110C 2023-04-03 J1 10 C 3 1 5.1
734 96 BH 7.977976 J119C 2023-04-03 J1 19 C 5 20 10.1
735 96 BH 7.977976 J223D 2023-04-03 J2 23 D 4 9 5.7
736 96 BH 7.977976 J225D 2023-04-03 J2 25 D 2 5 6.3
737 96 BH 7.977976 J230C 2023-04-03 J2 30 C 4 14 9.4
738 96 BH 7.977976 J231D 2023-04-03 J2 31 D 7 14 12.1
739 96 BH 7.977976 J232D 2023-04-03 J2 32 D 3 12 5.2
740 96 BH 7.977976 L15B 2023-04-03 L1 5 B 2 6 3.9
741 96 BH 7.977976 L110A 2023-04-03 L1 10 A 2 14 3.6
742 96 BH 7.977976 L14D 2023-04-03 L1 4 D 4 10 7.1
743 96 BH 7.977976 L113C 2023-04-03 L1 13 C 3 13 3.6
744 96 BH 7.977976 L113D 2023-04-03 L1 13 D 5 22 7.3
745 96 BH 7.977976 L228D 2023-04-03 L2 28 D 2 7 7.1
746 96 BH 7.977976 L229D 2023-04-03 L2 29 D 3 14 4.1
747 96 BH 7.977976 L230C 2023-04-03 L2 30 C 4 11 4.3
748 96 BH 7.977976 L240D 2023-04-03 L2 40 D 7 13 6.6
749 96 BH 7.977976 L241D 2023-04-03 L2 41 D 4 1 5.8
750 96 DPR 11.437417 F16C 2023-04-03 F1 6 C 6 9 15.4
751 96 DPR 11.437417 F240C 2023-04-03 F2 40 C 7 4 22.5
752 96 DPR 11.437417 H117B 2023-04-03 H1 17 B 5 2 25.9
753 96 DPR 11.437417 H17C 2023-04-03 H1 7 C 2 10 13.3
754 96 DPR 11.437417 H225C 2023-04-03 H2 25 C 2 6 27.7
755 97 CC 8.915929 <NA> <NA> <NA> NA <NA> <NA> NA NA
756 97 BH 8.189641 <NA> <NA> <NA> NA <NA> <NA> NA NA
757 97 DPR 11.612699 <NA> <NA> <NA> NA <NA> <NA> NA NA
758 98 CC 9.221648 <NA> <NA> <NA> NA <NA> <NA> NA NA
759 98 BH 8.388396 <NA> <NA> <NA> NA <NA> <NA> NA NA
760 98 DPR 12.030501 <NA> <NA> <NA> NA <NA> <NA> NA NA
761 99 CC 9.678219 <NA> <NA> <NA> NA <NA> <NA> NA NA
762 99 BH 8.668453 <NA> <NA> <NA> NA <NA> <NA> NA NA
763 99 DPR 12.364770 <NA> <NA> <NA> NA <NA> <NA> NA NA
764 100 CC 10.073818 <NA> <NA> <NA> NA <NA> <NA> NA NA
765 100 BH 8.943405 <NA> <NA> <NA> NA <NA> <NA> NA NA
766 100 DPR 12.569543 <NA> <NA> <NA> NA <NA> <NA> NA NA
767 101 CC 10.167191 <NA> <NA> <NA> NA <NA> <NA> NA NA
768 101 BH 9.408457 <NA> <NA> <NA> NA <NA> <NA> NA NA
769 101 DPR 13.699703 <NA> <NA> <NA> NA <NA> <NA> NA NA
770 102 CC 10.574377 <NA> <NA> <NA> NA <NA> <NA> NA NA
771 102 BH 9.381471 <NA> <NA> <NA> NA <NA> <NA> NA NA
772 102 DPR 13.720811 <NA> <NA> <NA> NA <NA> <NA> NA NA
773 103 CC 10.835829 H111B 2023-04-10 H1 11 B 7 2 16.2
774 103 CC 10.835829 H115B 2023-04-10 H1 15 B 3 3 23.8
775 103 CC 10.835829 H116A 2023-04-10 H1 16 A 4 10 12.3
776 103 CC 10.835829 J112B 2023-04-10 J1 12 B 4 4 10.1
777 103 CC 10.835829 J236C 2023-04-10 J2 36 C 5 5 5.9
778 103 BH 9.927091 D226B 2023-04-10 D2 26 B 5 15 5.7
779 103 BH 9.927091 D230B 2023-04-10 D2 30 B 4 3 6.8
780 103 BH 9.927091 D119D 2023-04-10 D1 19 D 5 9 3.6
781 103 BH 9.927091 D229C 2023-04-10 D2 29 C 4 13 5.8
782 103 BH 9.927091 D229D 2023-04-10 D2 29 D 2 9 4.3
783 103 BH 9.927091 D235D 2023-04-10 D2 35 D 3 6 8.4
784 103 BH 9.927091 F115A 2023-04-10 F1 15 A 6 9 17.4
785 103 BH 9.927091 F229B 2023-04-10 F2 29 B 4 5 7.2
786 103 BH 9.927091 F240B 2023-04-10 F2 40 B 5 12 6.6
787 103 BH 9.927091 F115C 2023-04-10 F1 15 C 4 4 5.5
788 103 BH 9.927091 F235D 2023-04-10 F2 35 D 2 1 5.7
789 103 BH 9.927091 H14B 2023-04-10 H1 4 B 2 12 6.1
790 103 BH 9.927091 H18B 2023-04-10 H1 8 B 3 9 8.8
791 103 BH 9.927091 H114A 2023-04-10 H1 14 A 5 3 12.3
792 103 BH 9.927091 H224B 2023-04-10 H2 24 B 5 29 13.4
793 103 BH 9.927091 H233B 2023-04-10 H2 33 B 4 7 5.7
794 103 BH 9.927091 H110C 2023-04-10 H1 10 C 6 11 13.2
795 103 BH 9.927091 H119C 2023-04-10 H1 19 C 7 21 5.1
796 103 BH 9.927091 H223C 2023-04-10 H2 23 C 7 22 8.6
797 103 BH 9.927091 H235C 2023-04-10 H2 35 C 2 13 3.9
798 103 BH 9.927091 J14B 2023-04-10 J1 4 B 2 4 6.0
799 103 BH 9.927091 J119B 2023-04-10 J1 19 B 3 11 6.9
800 103 BH 9.927091 J233A 2023-04-10 J2 33 A 3 2 6.4
801 103 BH 9.927091 J237B 2023-04-10 J2 37 B 1 7 12.2
802 103 BH 9.927091 J19C 2023-04-10 J1 9 C 5 30 8.5
803 103 BH 9.927091 J110C 2023-04-10 J1 10 C 3 1 7.0
804 103 BH 9.927091 J119C 2023-04-10 J1 19 C 5 20 11.4
805 103 BH 9.927091 J225D 2023-04-10 J2 25 D 2 5 7.7
806 103 BH 9.927091 J230C 2023-04-10 J2 30 C 4 14 9.0
807 103 BH 9.927091 J231D 2023-04-10 J2 31 D 7 14 10.2
808 103 BH 9.927091 J232D 2023-04-10 J2 32 D 3 12 6.0
809 103 BH 9.927091 L110A 2023-04-10 L1 10 A 2 14 2.1
810 103 BH 9.927091 L14D 2023-04-10 L1 4 D 4 10 4.1
811 103 BH 9.927091 L113C 2023-04-10 L1 13 C 3 13 2.5
812 103 BH 9.927091 L113D 2023-04-10 L1 13 D 5 22 9.0
813 103 BH 9.927091 L228D 2023-04-10 L2 28 D 2 7 6.3
814 103 BH 9.927091 L229D 2023-04-10 L2 29 D 3 14 3.6
815 103 BH 9.927091 L240D 2023-04-10 L2 40 D 7 13 8.4
816 103 BH 9.927091 L241D 2023-04-10 L2 41 D 4 1 4.4
817 103 DPR 14.824650 F16C 2023-04-10 F1 6 C 6 9 16.6
818 103 DPR 14.824650 H117B 2023-04-10 H1 17 B 5 2 38.2
819 103 DPR 14.824650 H225C 2023-04-10 H2 25 C 2 6 37.4
820 103 DPR 14.824650 J16B 2023-04-10 J1 6 B 6 10 23.6
821 104 CC 11.204196 <NA> <NA> <NA> NA <NA> <NA> NA NA
822 104 BH 10.306400 <NA> <NA> <NA> NA <NA> <NA> NA NA
823 104 DPR 15.058698 <NA> <NA> <NA> NA <NA> <NA> NA NA
824 105 CC 12.088986 <NA> <NA> <NA> NA <NA> <NA> NA NA
825 105 BH 10.787903 <NA> <NA> <NA> NA <NA> <NA> NA NA
826 105 DPR 16.011845 <NA> <NA> <NA> NA <NA> <NA> NA NA
827 106 CC 12.060390 <NA> <NA> <NA> NA <NA> <NA> NA NA
828 106 BH 10.545755 <NA> <NA> <NA> NA <NA> <NA> NA NA
829 106 DPR 16.603843 <NA> <NA> <NA> NA <NA> <NA> NA NA
830 107 CC 12.782610 <NA> <NA> <NA> NA <NA> <NA> NA NA
831 107 BH 11.437026 <NA> <NA> <NA> NA <NA> <NA> NA NA
832 107 DPR 16.950690 <NA> <NA> <NA> NA <NA> <NA> NA NA
833 108 CC 13.382431 <NA> <NA> <NA> NA <NA> <NA> NA NA
834 108 BH 11.748042 <NA> <NA> <NA> NA <NA> <NA> NA NA
835 108 DPR 17.728514 <NA> <NA> <NA> NA <NA> <NA> NA NA
836 109 CC 13.550854 <NA> <NA> <NA> NA <NA> <NA> NA NA
837 109 BH 12.023989 <NA> <NA> <NA> NA <NA> <NA> NA NA
838 109 DPR 18.607704 <NA> <NA> <NA> NA <NA> <NA> NA NA
839 110 CC 14.048636 H111B 2023-04-17 H1 11 B 7 2 14.4
840 110 CC 14.048636 H115B 2023-04-17 H1 15 B 3 3 32.6
841 110 CC 14.048636 H116A 2023-04-17 H1 16 A 4 10 15.1
842 110 CC 14.048636 J112B 2023-04-17 J1 12 B 4 4 9.0
843 110 BH 12.724186 D226B 2023-04-17 D2 26 B 5 15 7.9
844 110 BH 12.724186 D230B 2023-04-17 D2 30 B 4 3 8.1
845 110 BH 12.724186 D119D 2023-04-17 D1 19 D 5 9 3.3
846 110 BH 12.724186 D229C 2023-04-17 D2 29 C 4 13 6.8
847 110 BH 12.724186 D229D 2023-04-17 D2 29 D 2 9 7.1
848 110 BH 12.724186 D235D 2023-04-17 D2 35 D 3 6 10.2
849 110 BH 12.724186 F115A 2023-04-17 F1 15 A 6 9 22.9
850 110 BH 12.724186 F229B 2023-04-17 F2 29 B 4 5 8.2
851 110 BH 12.724186 F240B 2023-04-17 F2 40 B 5 12 8.0
852 110 BH 12.724186 F235D 2023-04-17 F2 35 D 2 1 7.3
853 110 BH 12.724186 H14B 2023-04-17 H1 4 B 2 12 11.4
854 110 BH 12.724186 H18B 2023-04-17 H1 8 B 3 9 15.2
855 110 BH 12.724186 H114A 2023-04-17 H1 14 A 5 3 13.1
856 110 BH 12.724186 H224B 2023-04-17 H2 24 B 5 29 19.2
857 110 BH 12.724186 H233B 2023-04-17 H2 33 B 4 7 6.2
858 110 BH 12.724186 H110C 2023-04-17 H1 10 C 6 11 18.3
859 110 BH 12.724186 H223C 2023-04-17 H2 23 C 7 22 11.8
860 110 BH 12.724186 J14B 2023-04-17 J1 4 B 2 4 12.9
861 110 BH 12.724186 J119B 2023-04-17 J1 19 B 3 11 12.0
862 110 BH 12.724186 J233A 2023-04-17 J2 33 A 3 2 9.0
863 110 BH 12.724186 J237B 2023-04-17 J2 37 B 1 7 18.4
864 110 BH 12.724186 J19C 2023-04-17 J1 9 C 5 30 9.8
865 110 BH 12.724186 J110C 2023-04-17 J1 10 C 3 1 13.4
866 110 BH 12.724186 J119C 2023-04-17 J1 19 C 5 20 18.4
867 110 BH 12.724186 J223D 2023-04-17 J2 23 D 4 9 6.1
868 110 BH 12.724186 J225D 2023-04-17 J2 25 D 2 5 8.8
869 110 BH 12.724186 J230C 2023-04-17 J2 30 C 4 14 13.1
870 110 BH 12.724186 J231D 2023-04-17 J2 31 D 7 14 11.2
871 110 BH 12.724186 J232D 2023-04-17 J2 32 D 3 12 10.8
872 110 BH 12.724186 L110A 2023-04-17 L1 10 A 2 14 11.1
873 110 BH 12.724186 L14D 2023-04-17 L1 4 D 4 10 14.4
874 110 BH 12.724186 L113C 2023-04-17 L1 13 C 3 13 16.0
875 110 BH 12.724186 L113D 2023-04-17 L1 13 D 5 22 12.4
876 110 BH 12.724186 L228D 2023-04-17 L2 28 D 2 7 7.1
877 110 BH 12.724186 L229D 2023-04-17 L2 29 D 3 14 5.6
878 110 BH 12.724186 L240D 2023-04-17 L2 40 D 7 13 11.8
879 110 BH 12.724186 L241D 2023-04-17 L2 41 D 4 1 6.9
880 110 DPR 19.633113 F16C 2023-04-17 F1 6 C 6 9 16.1
881 110 DPR 19.633113 H117B 2023-04-17 H1 17 B 5 2 42.7
882 110 DPR 19.633113 H225C 2023-04-17 H2 25 C 2 6 36.2
883 110 DPR 19.633113 J16B 2023-04-17 J1 6 B 6 10 24.5
884 111 CC 14.261759 <NA> <NA> <NA> NA <NA> <NA> NA NA
885 111 BH 13.206855 <NA> <NA> <NA> NA <NA> <NA> NA NA
886 111 DPR 20.006144 <NA> <NA> <NA> NA <NA> <NA> NA NA
887 112 CC 14.639875 <NA> <NA> <NA> NA <NA> <NA> NA NA
888 112 BH 13.614070 <NA> <NA> <NA> NA <NA> <NA> NA NA
889 112 DPR 20.920895 <NA> <NA> <NA> NA <NA> <NA> NA NA
890 113 CC 15.838977 <NA> <NA> <NA> NA <NA> <NA> NA NA
891 113 BH 13.809135 <NA> <NA> <NA> NA <NA> <NA> NA NA
892 113 DPR 21.976439 <NA> <NA> <NA> NA <NA> <NA> NA NA
893 114 CC 16.328254 <NA> <NA> <NA> NA <NA> <NA> NA NA
894 114 BH 14.360145 <NA> <NA> <NA> NA <NA> <NA> NA NA
895 114 DPR 22.987894 <NA> <NA> <NA> NA <NA> <NA> NA NA
896 115 CC 16.567823 <NA> <NA> <NA> NA <NA> <NA> NA NA
897 115 BH 14.935287 <NA> <NA> <NA> NA <NA> <NA> NA NA
898 115 DPR 23.519926 <NA> <NA> <NA> NA <NA> <NA> NA NA
899 116 CC 17.799015 <NA> <NA> <NA> NA <NA> <NA> NA NA
900 116 BH 15.542638 <NA> <NA> <NA> NA <NA> <NA> NA NA
901 116 DPR 24.767556 <NA> <NA> <NA> NA <NA> <NA> NA NA
902 117 CC 17.652498 H111B 2023-04-24 H1 11 B 7 2 27.1
903 117 CC 17.652498 H115B 2023-04-24 H1 15 B 3 3 37.0
904 117 CC 17.652498 H116A 2023-04-24 H1 16 A 4 10 15.9
905 117 BH 15.854418 D226B 2023-04-24 D2 26 B 5 15 15.9
906 117 BH 15.854418 D230B 2023-04-24 D2 30 B 4 3 12.6
907 117 BH 15.854418 D119D 2023-04-24 D1 19 D 5 9 2.1
908 117 BH 15.854418 D229C 2023-04-24 D2 29 C 4 13 8.1
909 117 BH 15.854418 D229D 2023-04-24 D2 29 D 2 9 10.9
910 117 BH 15.854418 D235D 2023-04-24 D2 35 D 3 6 16.3
911 117 BH 15.854418 F115A 2023-04-24 F1 15 A 6 9 33.1
912 117 BH 15.854418 F229B 2023-04-24 F2 29 B 4 5 9.1
913 117 BH 15.854418 F240B 2023-04-24 F2 40 B 5 12 10.1
914 117 BH 15.854418 F235D 2023-04-24 F2 35 D 2 1 1.8
915 117 BH 15.854418 H14B 2023-04-24 H1 4 B 2 12 14.9
916 117 BH 15.854418 H18B 2023-04-24 H1 8 B 3 9 21.4
917 117 BH 15.854418 H114A 2023-04-24 H1 14 A 5 3 17.5
918 117 BH 15.854418 H224B 2023-04-24 H2 24 B 5 29 28.3
919 117 BH 15.854418 H233B 2023-04-24 H2 33 B 4 7 13.7
920 117 BH 15.854418 H110C 2023-04-24 H1 10 C 6 11 24.4
921 117 BH 15.854418 H223C 2023-04-24 H2 23 C 7 22 12.2
922 117 BH 15.854418 J14B 2023-04-24 J1 4 B 2 4 5.2
923 117 BH 15.854418 J119B 2023-04-24 J1 19 B 3 11 11.9
924 117 BH 15.854418 J233A 2023-04-24 J2 33 A 3 2 7.9
925 117 BH 15.854418 J237B 2023-04-24 J2 37 B 1 7 25.3
926 117 BH 15.854418 J110C 2023-04-24 J1 10 C 3 1 14.8
927 117 BH 15.854418 J119C 2023-04-24 J1 19 C 5 20 28.3
928 117 BH 15.854418 J223D 2023-04-24 J2 23 D 4 9 8.4
929 117 BH 15.854418 J225D 2023-04-24 J2 25 D 2 5 14.1
930 117 BH 15.854418 J230C 2023-04-24 J2 30 C 4 14 15.3
931 117 BH 15.854418 J231D 2023-04-24 J2 31 D 7 14 10.6
932 117 BH 15.854418 J232D 2023-04-24 J2 32 D 3 12 19.2
933 117 BH 15.854418 L110A 2023-04-24 L1 10 A 2 14 14.4
934 117 BH 15.854418 L14D 2023-04-24 L1 4 D 4 10 20.6
935 117 BH 15.854418 L113C 2023-04-24 L1 13 C 3 13 27.7
936 117 BH 15.854418 L113D 2023-04-24 L1 13 D 5 22 17.5
937 117 BH 15.854418 L228D 2023-04-24 L2 28 D 2 7 6.9
938 117 BH 15.854418 L229D 2023-04-24 L2 29 D 3 14 11.8
939 117 BH 15.854418 L240D 2023-04-24 L2 40 D 7 13 14.1
940 117 BH 15.854418 L241D 2023-04-24 L2 41 D 4 1 12.3
941 117 DPR 25.628088 F16C 2023-04-24 F1 6 C 6 9 16.0
942 117 DPR 25.628088 H117B 2023-04-24 H1 17 B 5 2 42.3
943 117 DPR 25.628088 H225C 2023-04-24 H2 25 C 2 6 36.1
944 117 DPR 25.628088 J16B 2023-04-24 J1 6 B 6 10 26.7
945 118 CC 18.755493 <NA> <NA> <NA> NA <NA> <NA> NA NA
946 118 BH 16.905609 <NA> <NA> <NA> NA <NA> <NA> NA NA
947 118 DPR 26.637579 <NA> <NA> <NA> NA <NA> <NA> NA NA
948 119 CC 19.343950 <NA> <NA> <NA> NA <NA> <NA> NA NA
949 119 BH 17.323663 <NA> <NA> <NA> NA <NA> <NA> NA NA
950 119 DPR 27.839494 <NA> <NA> <NA> NA <NA> <NA> NA NA
951 120 CC 19.966314 <NA> <NA> <NA> NA <NA> <NA> NA NA
952 120 BH 17.810464 <NA> <NA> <NA> NA <NA> <NA> NA NA
953 120 DPR 28.684801 <NA> <NA> <NA> NA <NA> <NA> NA NA
954 121 CC 20.728691 <NA> <NA> <NA> NA <NA> <NA> NA NA
955 121 BH 18.033895 <NA> <NA> <NA> NA <NA> <NA> NA NA
956 121 DPR 29.772221 <NA> <NA> <NA> NA <NA> <NA> NA NA
957 122 CC 21.559491 <NA> <NA> <NA> NA <NA> <NA> NA NA
958 122 BH 19.186089 <NA> <NA> <NA> NA <NA> <NA> NA NA
959 122 DPR 30.705082 <NA> <NA> <NA> NA <NA> <NA> NA NA
960 123 CC 22.106187 <NA> <NA> <NA> NA <NA> <NA> NA NA
961 123 BH 19.234210 <NA> <NA> <NA> NA <NA> <NA> NA NA
962 123 DPR 32.116078 <NA> <NA> <NA> NA <NA> <NA> NA NA
963 124 CC 23.186015 H111B 2023-05-01 H1 11 B 7 2 15.5
964 124 CC 23.186015 H115B 2023-05-01 H1 15 B 3 3 34.7
965 124 CC 23.186015 H116A 2023-05-01 H1 16 A 4 10 13.5
966 124 BH 20.139155 D226B 2023-05-01 D2 26 B 5 15 20.5
967 124 BH 20.139155 D230B 2023-05-01 D2 30 B 4 3 17.2
968 124 BH 20.139155 D119D 2023-05-01 D1 19 D 5 9 3.1
969 124 BH 20.139155 D229C 2023-05-01 D2 29 C 4 13 10.8
970 124 BH 20.139155 D229D 2023-05-01 D2 29 D 2 9 13.1
971 124 BH 20.139155 D235D 2023-05-01 D2 35 D 3 6 3.9
972 124 BH 20.139155 F115A 2023-05-01 F1 15 A 6 9 42.5
973 124 BH 20.139155 F229B 2023-05-01 F2 29 B 4 5 12.5
974 124 BH 20.139155 F240B 2023-05-01 F2 40 B 5 12 16.5
975 124 BH 20.139155 F235D 2023-05-01 F2 35 D 2 1 10.2
976 124 BH 20.139155 H14B 2023-05-01 H1 4 B 2 12 18.6
977 124 BH 20.139155 H18B 2023-05-01 H1 8 B 3 9 30.5
978 124 BH 20.139155 H114A 2023-05-01 H1 14 A 5 3 19.5
979 124 BH 20.139155 H224B 2023-05-01 H2 24 B 5 29 38.4
980 124 BH 20.139155 H233B 2023-05-01 H2 33 B 4 7 19.1
981 124 BH 20.139155 H110C 2023-05-01 H1 10 C 6 11 29.9
982 124 BH 20.139155 H223C 2023-05-01 H2 23 C 7 22 12.1
983 124 BH 20.139155 J14B 2023-05-01 J1 4 B 2 4 11.5
984 124 BH 20.139155 J119B 2023-05-01 J1 19 B 3 11 18.4
985 124 BH 20.139155 J233A 2023-05-01 J2 33 A 3 2 9.5
986 124 BH 20.139155 J237B 2023-05-01 J2 37 B 1 7 33.0
987 124 BH 20.139155 J110C 2023-05-01 J1 10 C 3 1 31.5
988 124 BH 20.139155 J119C 2023-05-01 J1 19 C 5 20 44.3
989 124 BH 20.139155 J223D 2023-05-01 J2 23 D 4 9 10.2
990 124 BH 20.139155 J225D 2023-05-01 J2 25 D 2 5 17.0
991 124 BH 20.139155 J230C 2023-05-01 J2 30 C 4 14 23.5
992 124 BH 20.139155 J231D 2023-05-01 J2 31 D 7 14 10.5
993 124 BH 20.139155 J232D 2023-05-01 J2 32 D 3 12 23.5
994 124 BH 20.139155 L110A 2023-05-01 L1 10 A 2 14 21.0
995 124 BH 20.139155 L14D 2023-05-01 L1 4 D 4 10 24.7
996 124 BH 20.139155 L113C 2023-05-01 L1 13 C 3 13 50.6
997 124 BH 20.139155 L113D 2023-05-01 L1 13 D 5 22 21.1
998 124 BH 20.139155 L228D 2023-05-01 L2 28 D 2 7 7.5
999 124 BH 20.139155 L229D 2023-05-01 L2 29 D 3 14 16.5
1000 124 BH 20.139155 L240D 2023-05-01 L2 40 D 7 13 15.0
1001 124 BH 20.139155 L241D 2023-05-01 L2 41 D 4 1 16.5
1002 124 DPR 33.312686 F16C 2023-05-01 F1 6 C 6 9 17.0
1003 124 DPR 33.312686 H117B 2023-05-01 H1 17 B 5 2 42.4
1004 124 DPR 33.312686 J16B 2023-05-01 J1 6 B 6 10 23.5
1005 125 CC 24.206748 <NA> <NA> <NA> NA <NA> <NA> NA NA
1006 125 BH 20.873723 <NA> <NA> <NA> NA <NA> <NA> NA NA
1007 125 DPR 34.263355 <NA> <NA> <NA> NA <NA> <NA> NA NA
1008 126 CC 24.467252 <NA> <NA> <NA> NA <NA> <NA> NA NA
1009 126 BH 21.764547 <NA> <NA> <NA> NA <NA> <NA> NA NA
1010 126 DPR 35.509791 <NA> <NA> <NA> NA <NA> <NA> NA NA
1011 127 CC 25.460823 <NA> <NA> <NA> NA <NA> <NA> NA NA
1012 127 BH 22.319869 <NA> <NA> <NA> NA <NA> <NA> NA NA
1013 127 DPR 36.888536 <NA> <NA> <NA> NA <NA> <NA> NA NA
1014 128 CC 26.273912 <NA> <NA> <NA> NA <NA> <NA> NA NA
1015 128 BH 23.336936 <NA> <NA> <NA> NA <NA> <NA> NA NA
1016 128 DPR 38.081594 <NA> <NA> <NA> NA <NA> <NA> NA NA
1017 129 CC 26.946204 <NA> <NA> <NA> NA <NA> <NA> NA NA
1018 129 BH 23.642292 <NA> <NA> <NA> NA <NA> <NA> NA NA
1019 129 DPR 39.689037 <NA> <NA> <NA> NA <NA> <NA> NA NA
1020 130 CC 27.719773 <NA> <NA> <NA> NA <NA> <NA> NA NA
1021 130 BH 24.694624 <NA> <NA> <NA> NA <NA> <NA> NA NA
1022 130 DPR 40.871805 <NA> <NA> <NA> NA <NA> <NA> NA NA
1023 131 CC 29.295713 H116A 2023-05-08 H1 16 A 4 10 15.1
1024 131 BH 25.454814 D226B 2023-05-08 D2 26 B 5 15 23.1
1025 131 BH 25.454814 D230B 2023-05-08 D2 30 B 4 3 22.1
1026 131 BH 25.454814 D119D 2023-05-08 D1 19 D 5 9 3.1
1027 131 BH 25.454814 D229C 2023-05-08 D2 29 C 4 13 13.3
1028 131 BH 25.454814 D229D 2023-05-08 D2 29 D 2 9 15.8
1029 131 BH 25.454814 D235D 2023-05-08 D2 35 D 3 6 35.2
1030 131 BH 25.454814 F115A 2023-05-08 F1 15 A 6 9 51.3
1031 131 BH 25.454814 F229B 2023-05-08 F2 29 B 4 5 14.6
1032 131 BH 25.454814 F240B 2023-05-08 F2 40 B 5 12 18.7
1033 131 BH 25.454814 F235D 2023-05-08 F2 35 D 2 1 12.2
1034 131 BH 25.454814 H14B 2023-05-08 H1 4 B 2 12 20.8
1035 131 BH 25.454814 H18B 2023-05-08 H1 8 B 3 9 36.1
1036 131 BH 25.454814 H114A 2023-05-08 H1 14 A 5 3 21.6
1037 131 BH 25.454814 H224B 2023-05-08 H2 24 B 5 29 48.3
1038 131 BH 25.454814 H233B 2023-05-08 H2 33 B 4 7 20.8
1039 131 BH 25.454814 H110C 2023-05-08 H1 10 C 6 11 34.0
1040 131 BH 25.454814 H223C 2023-05-08 H2 23 C 7 22 12.1
1041 131 BH 25.454814 J14B 2023-05-08 J1 4 B 2 4 4.4
1042 131 BH 25.454814 J119B 2023-05-08 J1 19 B 3 11 18.6
1043 131 BH 25.454814 J233A 2023-05-08 J2 33 A 3 2 5.7
1044 131 BH 25.454814 J237B 2023-05-08 J2 37 B 1 7 39.2
1045 131 BH 25.454814 J110C 2023-05-08 J1 10 C 3 1 33.1
1046 131 BH 25.454814 J119C 2023-05-08 J1 19 C 5 20 60.5
1047 131 BH 25.454814 J223D 2023-05-08 J2 23 D 4 9 13.2
1048 131 BH 25.454814 J225D 2023-05-08 J2 25 D 2 5 20.4
1049 131 BH 25.454814 J230C 2023-05-08 J2 30 C 4 14 24.6
1050 131 BH 25.454814 J231D 2023-05-08 J2 31 D 7 14 8.9
1051 131 BH 25.454814 J232D 2023-05-08 J2 32 D 3 12 24.0
1052 131 BH 25.454814 L110A 2023-05-08 L1 10 A 2 14 23.3
1053 131 BH 25.454814 L14D 2023-05-08 L1 4 D 4 10 27.3
1054 131 BH 25.454814 L113C 2023-05-08 L1 13 C 3 13 65.9
1055 131 BH 25.454814 L113D 2023-05-08 L1 13 D 5 22 21.2
1056 131 BH 25.454814 L228D 2023-05-08 L2 28 D 2 7 5.0
1057 131 BH 25.454814 L229D 2023-05-08 L2 29 D 3 14 17.8
1058 131 BH 25.454814 L240D 2023-05-08 L2 40 D 7 13 14.1
1059 131 BH 25.454814 L241D 2023-05-08 L2 41 D 4 1 11.5
1060 131 DPR 42.610789 H117B 2023-05-08 H1 17 B 5 2 42.2
1061 132 CC 30.199515 <NA> <NA> <NA> NA <NA> <NA> NA NA
1062 132 BH 26.121498 <NA> <NA> <NA> NA <NA> <NA> NA NA
1063 132 DPR 43.627068 <NA> <NA> <NA> NA <NA> <NA> NA NA
1064 133 CC 30.892772 <NA> <NA> <NA> NA <NA> <NA> NA NA
1065 133 BH 27.009168 <NA> <NA> <NA> NA <NA> <NA> NA NA
1066 133 DPR 45.399532 <NA> <NA> <NA> NA <NA> <NA> NA NA
1067 134 CC 31.795332 <NA> <NA> <NA> NA <NA> <NA> NA NA
1068 134 BH 28.020810 <NA> <NA> <NA> NA <NA> <NA> NA NA
1069 134 DPR 46.776527 <NA> <NA> <NA> NA <NA> <NA> NA NA
1070 135 CC 32.843026 <NA> <NA> <NA> NA <NA> <NA> NA NA
1071 135 BH 28.529934 <NA> <NA> <NA> NA <NA> <NA> NA NA
1072 135 DPR 48.191192 <NA> <NA> <NA> NA <NA> <NA> NA NA
1073 136 CC 33.815855 <NA> <NA> <NA> NA <NA> <NA> NA NA
1074 136 BH 29.214217 <NA> <NA> <NA> NA <NA> <NA> NA NA
1075 136 DPR 49.759878 <NA> <NA> <NA> NA <NA> <NA> NA NA
1076 137 CC 35.093420 <NA> <NA> <NA> NA <NA> <NA> NA NA
1077 137 BH 30.225219 <NA> <NA> <NA> NA <NA> <NA> NA NA
1078 137 DPR 51.629990 <NA> <NA> <NA> NA <NA> <NA> NA NA
1079 138 CC 35.718807 <NA> <NA> <NA> NA <NA> <NA> NA NA
1080 138 BH 31.528001 <NA> <NA> <NA> NA <NA> <NA> NA NA
1081 138 DPR 52.758754 <NA> <NA> <NA> NA <NA> <NA> NA NA
1082 139 CC 36.655352 <NA> <NA> <NA> NA <NA> <NA> NA NA
1083 139 BH 32.586632 <NA> <NA> <NA> NA <NA> <NA> NA NA
1084 139 DPR 54.413747 <NA> <NA> <NA> NA <NA> <NA> NA NA
1085 140 CC 37.835709 <NA> <NA> <NA> NA <NA> <NA> NA NA
1086 140 BH 32.735022 <NA> <NA> <NA> NA <NA> <NA> NA NA
1087 140 DPR 56.268015 <NA> <NA> <NA> NA <NA> <NA> NA NA
1088 141 CC 38.743501 <NA> <NA> <NA> NA <NA> <NA> NA NA
1089 141 BH 33.744373 <NA> <NA> <NA> NA <NA> <NA> NA NA
1090 141 DPR 57.678101 <NA> <NA> <NA> NA <NA> <NA> NA NA
1091 142 CC 40.341936 <NA> <NA> <NA> NA <NA> <NA> NA NA
1092 142 BH 35.199717 <NA> <NA> <NA> NA <NA> <NA> NA NA
1093 142 DPR 58.914588 <NA> <NA> <NA> NA <NA> <NA> NA NA
1094 143 CC 40.991558 <NA> <NA> <NA> NA <NA> <NA> NA NA
1095 143 BH 35.402047 <NA> <NA> <NA> NA <NA> <NA> NA NA
1096 143 DPR 60.672022 <NA> <NA> <NA> NA <NA> <NA> NA NA
1097 144 CC 42.011889 <NA> <NA> <NA> NA <NA> <NA> NA NA
1098 144 BH 36.684959 <NA> <NA> <NA> NA <NA> <NA> NA NA
1099 144 DPR 62.590425 <NA> <NA> <NA> NA <NA> <NA> NA NA
1100 145 CC 43.428819 <NA> <NA> <NA> NA <NA> <NA> NA NA
1101 145 BH 37.452258 <NA> <NA> <NA> NA <NA> <NA> NA NA
1102 145 DPR 64.170865 <NA> <NA> <NA> NA <NA> <NA> NA NA
1103 146 CC 44.483971 <NA> <NA> <NA> NA <NA> <NA> NA NA
1104 146 BH 38.749361 <NA> <NA> <NA> NA <NA> <NA> NA NA
1105 146 DPR 66.013778 <NA> <NA> <NA> NA <NA> <NA> NA NA
1106 147 CC 45.344375 <NA> <NA> <NA> NA <NA> <NA> NA NA
1107 147 BH 39.267125 <NA> <NA> <NA> NA <NA> <NA> NA NA
1108 147 DPR 67.292749 <NA> <NA> <NA> NA <NA> <NA> NA NA
1109 148 CC 46.635660 <NA> <NA> <NA> NA <NA> <NA> NA NA
1110 148 BH 40.325140 <NA> <NA> <NA> NA <NA> <NA> NA NA
1111 148 DPR 69.129043 <NA> <NA> <NA> NA <NA> <NA> NA NA
1112 149 CC 47.444503 <NA> <NA> <NA> NA <NA> <NA> NA NA
1113 149 BH 40.857720 <NA> <NA> <NA> NA <NA> <NA> NA NA
1114 149 DPR 70.870036 <NA> <NA> <NA> NA <NA> <NA> NA NA
1115 150 CC 48.758416 <NA> <NA> <NA> NA <NA> <NA> NA NA
1116 150 BH 41.951961 <NA> <NA> <NA> NA <NA> <NA> NA NA
1117 150 DPR 72.417466 <NA> <NA> <NA> NA <NA> <NA> NA NA
1118 151 CC 49.318200 <NA> <NA> <NA> NA <NA> <NA> NA NA
1119 151 BH 43.201930 <NA> <NA> <NA> NA <NA> <NA> NA NA
1120 151 DPR 73.797206 <NA> <NA> <NA> NA <NA> <NA> NA NA
1121 152 CC 50.829998 <NA> <NA> <NA> NA <NA> <NA> NA NA
1122 152 BH 43.990472 <NA> <NA> <NA> NA <NA> <NA> NA NA
1123 152 DPR 75.570837 <NA> <NA> <NA> NA <NA> <NA> NA NA
1124 153 CC 51.754827 <NA> <NA> <NA> NA <NA> <NA> NA NA
1125 153 BH 44.748020 <NA> <NA> <NA> NA <NA> <NA> NA NA
1126 153 DPR 77.512828 <NA> <NA> <NA> NA <NA> <NA> NA NA
1127 154 CC 52.533355 <NA> <NA> <NA> NA <NA> <NA> NA NA
1128 154 BH 45.424700 <NA> <NA> <NA> NA <NA> <NA> NA NA
1129 154 DPR 78.861017 <NA> <NA> <NA> NA <NA> <NA> NA NA
1130 155 CC 53.760669 <NA> <NA> <NA> NA <NA> <NA> NA NA
1131 155 BH 46.383377 <NA> <NA> <NA> NA <NA> <NA> NA NA
1132 155 DPR 80.207348 <NA> <NA> <NA> NA <NA> <NA> NA NA
1133 156 CC 54.646302 <NA> <NA> <NA> NA <NA> <NA> NA NA
1134 156 BH 47.357999 <NA> <NA> <NA> NA <NA> <NA> NA NA
1135 156 DPR 82.094322 <NA> <NA> <NA> NA <NA> <NA> NA NA
1136 157 CC 55.778727 <NA> <NA> <NA> NA <NA> <NA> NA NA
1137 157 BH 48.310541 <NA> <NA> <NA> NA <NA> <NA> NA NA
1138 157 DPR 83.272250 <NA> <NA> <NA> NA <NA> <NA> NA NA
1139 158 CC 56.713847 <NA> <NA> <NA> NA <NA> <NA> NA NA
1140 158 BH 49.135436 <NA> <NA> <NA> NA <NA> <NA> NA NA
1141 158 DPR 84.788434 <NA> <NA> <NA> NA <NA> <NA> NA NA
1142 159 CC 57.612095 <NA> <NA> <NA> NA <NA> <NA> NA NA
1143 159 BH 49.734185 D226B 2023-06-05 D2 26 B 5 15 77.4
1144 159 BH 49.734185 D230B 2023-06-05 D2 30 B 4 3 52.1
1145 159 BH 49.734185 D229C 2023-06-05 D2 29 C 4 13 23.7
1146 159 BH 49.734185 D229D 2023-06-05 D2 29 D 2 9 34.5
1147 159 BH 49.734185 D235D 2023-06-05 D2 35 D 3 6 80.5
1148 159 BH 49.734185 F115A 2023-06-05 F1 15 A 6 9 88.9
1149 159 BH 49.734185 F229B 2023-06-05 F2 29 B 4 5 26.3
1150 159 BH 49.734185 F240B 2023-06-05 F2 40 B 5 12 47.0
1151 159 BH 49.734185 F235D 2023-06-05 F2 35 D 2 1 37.5
1152 159 BH 49.734185 H14B 2023-06-05 H1 4 B 2 12 28.2
1153 159 BH 49.734185 H18B 2023-06-05 H1 8 B 3 9 76.1
1154 159 BH 49.734185 H114A 2023-06-05 H1 14 A 5 3 19.9
1155 159 BH 49.734185 H224B 2023-06-05 H2 24 B 5 29 70.8
1156 159 BH 49.734185 H233B 2023-06-05 H2 33 B 4 7 21.1
1157 159 BH 49.734185 H110C 2023-06-05 H1 10 C 6 11 44.8
1158 159 BH 49.734185 J119B 2023-06-05 J1 19 B 3 11 31.9
1159 159 BH 49.734185 J237B 2023-06-05 J2 37 B 1 7 39.9
1160 159 BH 49.734185 J110C 2023-06-05 J1 10 C 3 1 70.0
1161 159 BH 49.734185 J119C 2023-06-05 J1 19 C 5 20 102.4
1162 159 BH 49.734185 J223D 2023-06-05 J2 23 D 4 9 51.4
1163 159 BH 49.734185 J225D 2023-06-05 J2 25 D 2 5 71.0
1164 159 BH 49.734185 J230C 2023-06-05 J2 30 C 4 14 32.3
1165 159 BH 49.734185 J232D 2023-06-05 J2 32 D 3 12 27.8
1166 159 BH 49.734185 L110A 2023-06-05 L1 10 A 2 14 61.7
1167 159 BH 49.734185 L14D 2023-06-05 L1 4 D 4 10 77.6
1168 159 BH 49.734185 L113C 2023-06-05 L1 13 C 3 13 120.6
1169 159 BH 49.734185 L113D 2023-06-05 L1 13 D 5 22 58.9
1170 159 BH 49.734185 L229D 2023-06-05 L2 29 D 3 14 31.4
1171 159 BH 49.734185 L240D 2023-06-05 L2 40 D 7 13 19.7
1172 159 BH 49.734185 L241D 2023-06-05 L2 41 D 4 1 49.4
1173 159 DPR 86.471080 <NA> <NA> <NA> NA <NA> <NA> NA NA
1174 160 CC 58.997514 <NA> <NA> <NA> NA <NA> <NA> NA NA
1175 160 BH 50.688490 <NA> <NA> <NA> NA <NA> <NA> NA NA
1176 160 DPR 87.655038 <NA> <NA> <NA> NA <NA> <NA> NA NA
1177 161 CC 59.689022 <NA> <NA> <NA> NA <NA> <NA> NA NA
1178 161 BH 51.206258 <NA> <NA> <NA> NA <NA> <NA> NA NA
1179 161 DPR 89.275447 <NA> <NA> <NA> NA <NA> <NA> NA NA
1180 162 CC 60.444328 <NA> <NA> <NA> NA <NA> <NA> NA NA
1181 162 BH 52.396706 <NA> <NA> <NA> NA <NA> <NA> NA NA
1182 162 DPR 90.660921 <NA> <NA> <NA> NA <NA> <NA> NA NA
1183 163 CC 61.160444 <NA> <NA> <NA> NA <NA> <NA> NA NA
1184 163 BH 53.058676 <NA> <NA> <NA> NA <NA> <NA> NA NA
1185 163 DPR 91.815749 <NA> <NA> <NA> NA <NA> <NA> NA NA
1186 164 CC 62.019354 <NA> <NA> <NA> NA <NA> <NA> NA NA
1187 164 BH 53.299503 <NA> <NA> <NA> NA <NA> <NA> NA NA
1188 164 DPR 93.246374 <NA> <NA> <NA> NA <NA> <NA> NA NA
1189 165 CC 63.336032 <NA> <NA> <NA> NA <NA> <NA> NA NA
1190 165 BH 54.077978 <NA> <NA> <NA> NA <NA> <NA> NA NA
1191 165 DPR 94.467308 <NA> <NA> <NA> NA <NA> <NA> NA NA
1192 166 CC 63.671354 <NA> <NA> <NA> NA <NA> <NA> NA NA
1193 166 BH 54.991396 <NA> <NA> <NA> NA <NA> <NA> NA NA
1194 166 DPR 95.394941 <NA> <NA> <NA> NA <NA> <NA> NA NA
1195 167 CC 64.292896 <NA> <NA> <NA> NA <NA> <NA> NA NA
1196 167 BH 55.804415 <NA> <NA> <NA> NA <NA> <NA> NA NA
1197 167 DPR 97.088646 <NA> <NA> <NA> NA <NA> <NA> NA NA
1198 168 CC 65.367758 <NA> <NA> <NA> NA <NA> <NA> NA NA
1199 168 BH 56.450933 <NA> <NA> <NA> NA <NA> <NA> NA NA
1200 168 DPR 97.962900 <NA> <NA> <NA> NA <NA> <NA> NA NA
1201 169 CC 66.199357 <NA> <NA> <NA> NA <NA> <NA> NA NA
1202 169 BH 56.461130 <NA> <NA> <NA> NA <NA> <NA> NA NA
1203 169 DPR 99.241612 <NA> <NA> <NA> NA <NA> <NA> NA NA
1204 170 CC 66.700881 <NA> <NA> <NA> NA <NA> <NA> NA NA
1205 170 BH 57.656488 <NA> <NA> <NA> NA <NA> <NA> NA NA
1206 170 DPR 99.902797 <NA> <NA> <NA> NA <NA> <NA> NA NA
1207 171 CC 67.068760 <NA> <NA> <NA> NA <NA> <NA> NA NA
1208 171 BH 58.252088 <NA> <NA> <NA> NA <NA> <NA> NA NA
1209 171 DPR 100.985188 <NA> <NA> <NA> NA <NA> <NA> NA NA
1210 172 CC 67.825510 <NA> <NA> <NA> NA <NA> <NA> NA NA
1211 172 BH 58.319256 <NA> <NA> <NA> NA <NA> <NA> NA NA
1212 172 DPR 101.710708 <NA> <NA> <NA> NA <NA> <NA> NA NA
1213 173 CC 68.525348 <NA> <NA> <NA> NA <NA> <NA> NA NA
1214 173 BH 59.023606 <NA> <NA> <NA> NA <NA> <NA> NA NA
1215 173 DPR 103.202053 <NA> <NA> <NA> NA <NA> <NA> NA NA
1216 174 CC 69.229135 <NA> <NA> <NA> NA <NA> <NA> NA NA
1217 174 BH 59.550697 <NA> <NA> <NA> NA <NA> <NA> NA NA
1218 174 DPR 103.745338 <NA> <NA> <NA> NA <NA> <NA> NA NA
1219 175 CC 69.683937 <NA> <NA> <NA> NA <NA> <NA> NA NA
1220 175 BH 60.219075 <NA> <NA> <NA> NA <NA> <NA> NA NA
1221 175 DPR 104.540294 <NA> <NA> <NA> NA <NA> <NA> NA NA
1222 176 CC 69.921073 <NA> <NA> <NA> NA <NA> <NA> NA NA
1223 176 BH 60.619012 <NA> <NA> <NA> NA <NA> <NA> NA NA
1224 176 DPR 105.111218 <NA> <NA> <NA> NA <NA> <NA> NA NA
1225 177 CC 70.664155 <NA> <NA> <NA> NA <NA> <NA> NA NA
1226 177 BH 60.887290 <NA> <NA> <NA> NA <NA> <NA> NA NA
1227 177 DPR 106.243118 <NA> <NA> <NA> NA <NA> <NA> NA NA
1228 178 CC 70.999329 <NA> <NA> <NA> NA <NA> <NA> NA NA
1229 178 BH 61.350592 <NA> <NA> <NA> NA <NA> <NA> NA NA
1230 178 DPR 106.743919 <NA> <NA> <NA> NA <NA> <NA> NA NA
1231 179 CC 71.537636 <NA> <NA> <NA> NA <NA> <NA> NA NA
1232 179 BH 61.359531 <NA> <NA> <NA> NA <NA> <NA> NA NA
1233 179 DPR 107.525110 <NA> <NA> <NA> NA <NA> <NA> NA NA
1234 180 CC 71.401900 <NA> <NA> <NA> NA <NA> <NA> NA NA
1235 180 BH 62.139732 <NA> <NA> <NA> NA <NA> <NA> NA NA
1236 180 DPR 108.406295 <NA> <NA> <NA> NA <NA> <NA> NA NA
1237 181 CC 72.118821 <NA> <NA> <NA> NA <NA> <NA> NA NA
1238 181 BH 62.339211 <NA> <NA> <NA> NA <NA> <NA> NA NA
1239 181 DPR 108.737296 <NA> <NA> <NA> NA <NA> <NA> NA NA
1240 182 CC 72.432180 <NA> <NA> <NA> NA <NA> <NA> NA NA
1241 182 BH 62.439519 <NA> <NA> <NA> NA <NA> <NA> NA NA
1242 182 DPR 108.999232 <NA> <NA> <NA> NA <NA> <NA> NA NA
1243 183 CC 73.088647 <NA> <NA> <NA> NA <NA> <NA> NA NA
1244 183 BH 62.426665 <NA> <NA> <NA> NA <NA> <NA> NA NA
1245 183 DPR 109.513524 <NA> <NA> <NA> NA <NA> <NA> NA NA
1246 184 CC 73.192719 <NA> <NA> <NA> NA <NA> <NA> NA NA
1247 184 BH 63.256294 <NA> <NA> <NA> NA <NA> <NA> NA NA
1248 184 DPR 110.091999 <NA> <NA> <NA> NA <NA> <NA> NA NA
1249 185 CC 73.545953 <NA> <NA> <NA> NA <NA> <NA> NA NA
1250 185 BH 63.411164 <NA> <NA> <NA> NA <NA> <NA> NA NA
1251 185 DPR 110.941857 <NA> <NA> <NA> NA <NA> <NA> NA NA
1252 186 CC 73.587069 <NA> <NA> <NA> NA <NA> <NA> NA NA
1253 186 BH 63.508790 <NA> <NA> <NA> NA <NA> <NA> NA NA
1254 186 DPR 111.006819 <NA> <NA> <NA> NA <NA> <NA> NA NA
1255 187 CC 74.275295 <NA> <NA> <NA> NA <NA> <NA> NA NA
1256 187 BH 63.817876 D226B 2023-07-03 D2 26 B 5 15 67.4
1257 187 BH 63.817876 D230B 2023-07-03 D2 30 B 4 3 76.3
1258 187 BH 63.817876 D229C 2023-07-03 D2 29 C 4 13 26.9
1259 187 BH 63.817876 D229D 2023-07-03 D2 29 D 2 9 42.7
1260 187 BH 63.817876 D235D 2023-07-03 D2 35 D 3 6 83.2
1261 187 BH 63.817876 F115A 2023-07-03 F1 15 A 6 9 110.4
1262 187 BH 63.817876 F229B 2023-07-03 F2 29 B 4 5 34.3
1263 187 BH 63.817876 F240B 2023-07-03 F2 40 B 5 12 70.9
1264 187 BH 63.817876 F235D 2023-07-03 F2 35 D 2 1 67.8
1265 187 BH 63.817876 H18B 2023-07-03 H1 8 B 3 9 81.6
1266 187 BH 63.817876 H114A 2023-07-03 H1 14 A 5 3 18.7
1267 187 BH 63.817876 H224B 2023-07-03 H2 24 B 5 29 69.0
1268 187 BH 63.817876 H233B 2023-07-03 H2 33 B 4 7 18.0
1269 187 BH 63.817876 H110C 2023-07-03 H1 10 C 6 11 45.1
1270 187 BH 63.817876 J119B 2023-07-03 J1 19 B 3 11 32.1
1271 187 BH 63.817876 J110C 2023-07-03 J1 10 C 3 1 67.0
1272 187 BH 63.817876 J119C 2023-07-03 J1 19 C 5 20 101.0
1273 187 BH 63.817876 J223D 2023-07-03 J2 23 D 4 9 49.0
1274 187 BH 63.817876 J225D 2023-07-03 J2 25 D 2 5 82.0
1275 187 BH 63.817876 J230C 2023-07-03 J2 30 C 4 14 35.0
1276 187 BH 63.817876 J232D 2023-07-03 J2 32 D 3 12 29.0
1277 187 BH 63.817876 L110A 2023-07-03 L1 10 A 2 14 89.5
1278 187 BH 63.817876 L14D 2023-07-03 L1 4 D 4 10 92.5
1279 187 BH 63.817876 L113C 2023-07-03 L1 13 C 3 13 82.0
1280 187 BH 63.817876 L113D 2023-07-03 L1 13 D 5 22 113.0
1281 187 BH 63.817876 L229D 2023-07-03 L2 29 D 3 14 28.0
1282 187 BH 63.817876 L240D 2023-07-03 L2 40 D 7 13 17.0
1283 187 BH 63.817876 L241D 2023-07-03 L2 41 D 4 1 67.5
1284 187 DPR 111.421777 <NA> <NA> <NA> NA <NA> <NA> NA NA
1285 188 CC 74.025731 <NA> <NA> <NA> NA <NA> <NA> NA NA
1286 188 BH 63.524032 <NA> <NA> <NA> NA <NA> <NA> NA NA
1287 188 DPR 111.581988 <NA> <NA> <NA> NA <NA> <NA> NA NA
1288 189 CC 74.212877 <NA> <NA> <NA> NA <NA> <NA> NA NA
1289 189 BH 63.809744 <NA> <NA> <NA> NA <NA> <NA> NA NA
1290 189 DPR 111.752591 <NA> <NA> <NA> NA <NA> <NA> NA NA
1291 190 CC 74.581388 <NA> <NA> <NA> NA <NA> <NA> NA NA
1292 190 BH 64.493028 <NA> <NA> <NA> NA <NA> <NA> NA NA
1293 190 DPR 112.219144 <NA> <NA> <NA> NA <NA> <NA> NA NA
1294 191 CC 74.711978 <NA> <NA> <NA> NA <NA> <NA> NA NA
1295 191 BH 64.605901 <NA> <NA> <NA> NA <NA> <NA> NA NA
1296 191 DPR 112.448065 <NA> <NA> <NA> NA <NA> <NA> NA NA
1297 192 CC 74.716042 <NA> <NA> <NA> NA <NA> <NA> NA NA
1298 192 BH 64.506922 <NA> <NA> <NA> NA <NA> <NA> NA NA
1299 192 DPR 112.976009 <NA> <NA> <NA> NA <NA> <NA> NA NA
1300 193 CC 74.993750 <NA> <NA> <NA> NA <NA> <NA> NA NA
1301 193 BH 64.501967 <NA> <NA> <NA> NA <NA> <NA> NA NA
1302 193 DPR 113.012222 <NA> <NA> <NA> NA <NA> <NA> NA NA
1303 194 CC 74.777051 <NA> <NA> <NA> NA <NA> <NA> NA NA
1304 194 BH 64.683957 D226B 2023-07-10 D2 26 B 5 15 70.0
1305 194 BH 64.683957 D230B 2023-07-10 D2 30 B 4 3 73.0
1306 194 BH 64.683957 D229C 2023-07-10 D2 29 C 4 13 26.5
1307 194 BH 64.683957 D229D 2023-07-10 D2 29 D 2 9 43.0
1308 194 BH 64.683957 D235D 2023-07-10 D2 35 D 3 6 85.8
1309 194 BH 64.683957 F115A 2023-07-10 F1 15 A 6 9 113.2
1310 194 BH 64.683957 F229B 2023-07-10 F2 29 B 4 5 33.2
1311 194 BH 64.683957 F240B 2023-07-10 F2 40 B 5 12 71.6
1312 194 BH 64.683957 F235D 2023-07-10 F2 35 D 2 1 68.1
1313 194 BH 64.683957 H18B 2023-07-10 H1 8 B 3 9 82.2
1314 194 BH 64.683957 H224B 2023-07-10 H2 24 B 5 29 68.1
1315 194 BH 64.683957 H233B 2023-07-10 H2 33 B 4 7 23.5
1316 194 BH 64.683957 J223D 2023-07-10 J2 23 D 4 9 49.6
1317 194 BH 64.683957 J225D 2023-07-10 J2 25 D 2 5 77.0
1318 194 BH 64.683957 J230C 2023-07-10 J2 30 C 4 14 35.1
1319 194 BH 64.683957 J232D 2023-07-10 J2 32 D 3 12 30.5
1320 194 BH 64.683957 L110A 2023-07-10 L1 10 A 2 14 89.4
1321 194 BH 64.683957 L14D 2023-07-10 L1 4 D 4 10 95.6
1322 194 BH 64.683957 L113C 2023-07-10 L1 13 C 3 13 130.0
1323 194 BH 64.683957 L113D 2023-07-10 L1 13 D 5 22 96.1
1324 194 BH 64.683957 L240D 2023-07-10 L2 40 D 7 13 20.1
1325 194 BH 64.683957 L241D 2023-07-10 L2 41 D 4 1 68.4
1326 194 DPR 113.161107 <NA> <NA> <NA> NA <NA> <NA> NA NA
1327 195 CC 75.346477 <NA> <NA> <NA> NA <NA> <NA> NA NA
1328 195 BH 64.824782 <NA> <NA> <NA> NA <NA> <NA> NA NA
1329 195 DPR 113.571667 <NA> <NA> <NA> NA <NA> <NA> NA NA
1330 196 CC 75.690129 <NA> <NA> <NA> NA <NA> <NA> NA NA
1331 196 BH 64.184288 <NA> <NA> <NA> NA <NA> <NA> NA NA
1332 196 DPR 113.636502 <NA> <NA> <NA> NA <NA> <NA> NA NA
1333 197 CC 75.238847 <NA> <NA> <NA> NA <NA> <NA> NA NA
1334 197 BH 64.968679 <NA> <NA> <NA> NA <NA> <NA> NA NA
1335 197 DPR 113.701174 <NA> <NA> <NA> NA <NA> <NA> NA NA
1336 198 CC 75.632811 <NA> <NA> <NA> NA <NA> <NA> NA NA
1337 198 BH 65.323160 <NA> <NA> <NA> NA <NA> <NA> NA NA
1338 198 DPR 113.730190 <NA> <NA> <NA> NA <NA> <NA> NA NA
1339 199 CC 75.440489 <NA> <NA> <NA> NA <NA> <NA> NA NA
1340 199 BH 65.135340 <NA> <NA> <NA> NA <NA> <NA> NA NA
1341 199 DPR 113.877032 <NA> <NA> <NA> NA <NA> <NA> NA NA
1342 200 CC 75.936859 <NA> <NA> <NA> NA <NA> <NA> NA NA
1343 200 BH 65.293806 <NA> <NA> <NA> NA <NA> <NA> NA NA
1344 200 DPR 114.136976 <NA> <NA> <NA> NA <NA> <NA> NA NA
1345 201 CC 75.790892 <NA> <NA> <NA> NA <NA> <NA> NA NA
1346 201 BH 65.248888 D226B 2023-07-17 D2 26 B 5 15 68.2
1347 201 BH 65.248888 D230B 2023-07-17 D2 30 B 4 3 77.8
1348 201 BH 65.248888 D229C 2023-07-17 D2 29 C 4 13 25.7
1349 201 BH 65.248888 D229D 2023-07-17 D2 29 D 2 9 44.2
1350 201 BH 65.248888 D235D 2023-07-17 D2 35 D 3 6 83.6
1351 201 BH 65.248888 F115A 2023-07-17 F1 15 A 6 9 113.2
1352 201 BH 65.248888 F229B 2023-07-17 F2 29 B 4 5 34.3
1353 201 BH 65.248888 F240B 2023-07-17 F2 40 B 5 12 76.3
1354 201 BH 65.248888 F235D 2023-07-17 F2 35 D 2 1 68.8
1355 201 BH 65.248888 H18B 2023-07-17 H1 8 B 3 9 83.7
1356 201 BH 65.248888 H224B 2023-07-17 H2 24 B 5 29 70.3
1357 201 BH 65.248888 H233B 2023-07-17 H2 33 B 4 7 22.9
1358 201 BH 65.248888 J223D 2023-07-17 J2 23 D 4 9 50.8
1359 201 BH 65.248888 J225D 2023-07-17 J2 25 D 2 5 83.5
1360 201 BH 65.248888 J230C 2023-07-17 J2 30 C 4 14 41.6
1361 201 BH 65.248888 J232D 2023-07-17 J2 32 D 3 12 30.7
1362 201 BH 65.248888 L110A 2023-07-17 L1 10 A 2 14 90.0
1363 201 BH 65.248888 L14D 2023-07-17 L1 4 D 4 10 73.2
1364 201 BH 65.248888 L113C 2023-07-17 L1 13 C 3 13 107.6
1365 201 BH 65.248888 L241D 2023-07-17 L2 41 D 4 1 37.4
1366 201 DPR 114.148383 <NA> <NA> <NA> NA <NA> <NA> NA NA
1367 202 CC 75.600649 <NA> <NA> <NA> NA <NA> <NA> NA NA
1368 202 BH 65.001724 <NA> <NA> <NA> NA <NA> <NA> NA NA
1369 202 DPR 114.008513 <NA> <NA> <NA> NA <NA> <NA> NA NA
1370 203 CC 75.738017 <NA> <NA> <NA> NA <NA> <NA> NA NA
1371 203 BH 65.327347 <NA> <NA> <NA> NA <NA> <NA> NA NA
1372 203 DPR 113.992887 <NA> <NA> <NA> NA <NA> <NA> NA NA
1373 204 CC 75.757523 <NA> <NA> <NA> NA <NA> <NA> NA NA
1374 204 BH 65.443451 <NA> <NA> <NA> NA <NA> <NA> NA NA
1375 204 DPR 114.438949 <NA> <NA> <NA> NA <NA> <NA> NA NA
1376 205 CC 76.205540 <NA> <NA> <NA> NA <NA> <NA> NA NA
1377 205 BH 65.590407 <NA> <NA> <NA> NA <NA> <NA> NA NA
1378 205 DPR 114.387549 <NA> <NA> <NA> NA <NA> <NA> NA NA
1379 206 CC 76.073916 <NA> <NA> <NA> NA <NA> <NA> NA NA
1380 206 BH 65.498734 <NA> <NA> <NA> NA <NA> <NA> NA NA
1381 206 DPR 114.400217 <NA> <NA> <NA> NA <NA> <NA> NA NA
1382 207 CC 76.154203 <NA> <NA> <NA> NA <NA> <NA> NA NA
1383 207 BH 65.295931 <NA> <NA> <NA> NA <NA> <NA> NA NA
1384 207 DPR 114.260722 <NA> <NA> <NA> NA <NA> <NA> NA NA
1385 208 CC 76.149654 <NA> <NA> <NA> NA <NA> <NA> NA NA
1386 208 BH 65.426895 D226B 2023-07-24 D2 26 B 5 15 68.8
1387 208 BH 65.426895 D230B 2023-07-24 D2 30 B 4 3 79.3
1388 208 BH 65.426895 D229C 2023-07-24 D2 29 C 4 13 26.4
1389 208 BH 65.426895 D229D 2023-07-24 D2 29 D 2 9 44.8
1390 208 BH 65.426895 D235D 2023-07-24 D2 35 D 3 6 86.0
1391 208 BH 65.426895 F115A 2023-07-24 F1 15 A 6 9 109.9
1392 208 BH 65.426895 F229B 2023-07-24 F2 29 B 4 5 36.2
1393 208 BH 65.426895 F240B 2023-07-24 F2 40 B 5 12 75.1
1394 208 BH 65.426895 F235D 2023-07-24 F2 35 D 2 1 69.3
1395 208 BH 65.426895 H18B 2023-07-24 H1 8 B 3 9 81.7
1396 208 BH 65.426895 H224B 2023-07-24 H2 24 B 5 29 68.5
1397 208 BH 65.426895 H233B 2023-07-24 H2 33 B 4 7 22.8
1398 208 BH 65.426895 J225D 2023-07-24 J2 25 D 2 5 81.5
1399 208 BH 65.426895 J230C 2023-07-24 J2 30 C 4 14 32.8
1400 208 BH 65.426895 J232D 2023-07-24 J2 32 D 3 12 30.2
1401 208 BH 65.426895 L110A 2023-07-24 L1 10 A 2 14 91.2
1402 208 BH 65.426895 L14D 2023-07-24 L1 4 D 4 10 93.3
1403 208 BH 65.426895 L113C 2023-07-24 L1 13 C 3 13 89.8
1404 208 BH 65.426895 L113D 2023-07-24 L1 13 D 5 22 112.1
1405 208 BH 65.426895 L241D 2023-07-24 L2 41 D 4 1 69.6
1406 208 DPR 114.288121 <NA> <NA> <NA> NA <NA> <NA> NA NA
herbivory pred2
1 <NA> 4.148911
2 <NA> 3.842604
3 <NA> 3.993838
4 Y 4.105850
5 <NA> 4.148758
6 Y 3.972188
7 Y 4.243553
8 <NA> 4.554645
9 <NA> 4.167385
10 <NA> 3.979970
11 Y 4.095179
12 <NA> 4.029672
13 Y 4.077110
14 <NA> 4.099911
15 <NA> 4.014169
16 <NA> 3.940888
17 Y 3.655683
18 <NA> 3.936292
19 Y 3.696057
20 Y 3.947541
21 <NA> 4.109962
22 <NA> 4.197873
23 <NA> 3.945455
24 <NA> 3.681728
25 <NA> 4.100692
26 <NA> 4.037502
27 <NA> 4.196459
28 Y 3.734466
29 <NA> 4.073610
30 <NA> 4.001050
31 Y 4.277402
32 <NA> 3.911090
33 <NA> 4.278304
34 <NA> 3.735580
35 <NA> 4.073783
36 Y 4.222813
37 <NA> 3.823875
38 <NA> 4.044276
39 <NA> 3.737831
40 <NA> 3.815263
41 <NA> 3.657853
42 <NA> 4.217353
43 <NA> 4.022127
44 <NA> 4.075006
45 <NA> 3.960845
46 <NA> 4.108784
47 <NA> 4.415648
48 <NA> 4.034198
49 <NA> 4.037007
50 <NA> 4.177130
51 Y 3.722831
52 <NA> 3.814003
53 <NA> 3.802641
54 <NA> 3.990997
55 <NA> 4.090552
56 Y 4.313665
57 <NA> 3.984565
58 <NA> 4.173173
59 <NA> 3.920891
60 <NA> 4.113407
61 Y 4.175665
62 <NA> 4.338456
63 <NA> 3.594304
64 <NA> 3.892561
65 <NA> 3.820037
66 <NA> 4.097466
67 <NA> 4.138569
68 <NA> 4.263391
69 <NA> 3.779162
70 Y 3.895233
71 <NA> 3.979383
72 <NA> 4.350284
73 Y 3.915123
74 <NA> 3.836081
75 Y 3.982300
76 Y 4.092511
77 Y 4.149602
78 Y 4.002127
79 <NA> 3.746798
80 Y 3.957699
81 <NA> 3.951152
82 <NA> 3.925522
83 <NA> 4.120181
84 Y 3.865639
85 Y 3.865019
86 Y 4.043930
87 <NA> 4.153882
88 <NA> 4.037575
89 Y 3.852776
90 <NA> 3.965145
91 Y 3.835227
92 Y 3.914002
93 Y 4.081494
94 Y 4.210114
95 <NA> 4.189636
96 Y 4.515329
97 Y 3.685171
98 <NA> 4.285534
99 <NA> 3.870562
100 Y 4.075742
101 <NA> 3.614083
102 Y 4.345371
103 <NA> 3.960849
104 <NA> 4.195113
105 <NA> 4.039424
106 Y 4.219755
107 <NA> 4.335103
108 <NA> 4.005785
109 Y 3.970489
110 <NA> 4.206630
111 <NA> 3.926732
112 <NA> 3.914115
113 <NA> 3.911567
114 Y 4.002342
115 Y 3.599615
116 <NA> 3.843831
117 <NA> 4.044912
118 <NA> 3.958283
119 Y 3.618131
120 <NA> 4.130432
121 Y 3.874597
122 <NA> 4.141417
123 <NA> 4.330390
124 <NA> 4.141104
125 <NA> 4.315238
126 Y 4.077982
127 Y 3.866668
128 Y 3.981769
129 <NA> 3.866832
130 Y 3.967090
131 <NA> 3.940313
132 Y 3.902978
133 Y 3.952778
134 <NA> 4.285802
135 Y 3.953461
136 <NA> 4.093160
137 Y 4.194416
138 Y 4.119049
139 <NA> 4.043877
140 <NA> 4.243309
141 Y 3.802787
142 <NA> 4.298092
143 <NA> 3.965468
144 <NA> 4.046314
145 Y 4.005669
146 <NA> 3.747772
147 Y 4.155780
148 <NA> 3.675396
149 <NA> 4.253410
150 <NA> 4.071503
151 <NA> 3.812498
152 <NA> 4.078447
153 <NA> 4.136399
154 <NA> 4.275909
155 Y 4.434647
156 <NA> NA
157 <NA> NA
158 <NA> NA
159 <NA> NA
160 <NA> NA
161 <NA> NA
162 <NA> NA
163 <NA> NA
164 <NA> NA
165 <NA> NA
166 <NA> NA
167 <NA> NA
168 <NA> NA
169 <NA> NA
170 <NA> NA
171 <NA> NA
172 <NA> NA
173 <NA> NA
174 <NA> NA
175 <NA> NA
176 <NA> NA
177 <NA> NA
178 <NA> NA
179 <NA> NA
180 <NA> NA
181 <NA> NA
182 <NA> NA
183 <NA> NA
184 <NA> NA
185 <NA> NA
186 <NA> NA
187 <NA> NA
188 <NA> NA
189 <NA> NA
190 <NA> NA
191 <NA> NA
192 <NA> NA
193 <NA> NA
194 <NA> NA
195 <NA> NA
196 <NA> NA
197 <NA> NA
198 <NA> NA
199 <NA> NA
200 <NA> NA
201 <NA> NA
202 <NA> NA
203 <NA> NA
204 <NA> NA
205 <NA> NA
206 <NA> NA
207 <NA> NA
208 <NA> NA
209 <NA> NA
210 <NA> NA
211 <NA> NA
212 <NA> NA
213 <NA> NA
214 <NA> NA
215 <NA> NA
216 <NA> 4.048867
217 <NA> 4.177960
218 <NA> 4.469056
219 <NA> 4.168844
220 <NA> 3.723589
221 <NA> 4.330865
222 <NA> 4.090079
223 <NA> 3.487898
224 <NA> 4.180318
225 <NA> 4.218069
226 <NA> 4.118290
227 <NA> 3.798805
228 <NA> 4.112770
229 <NA> 4.246015
230 <NA> 4.365325
231 <NA> 3.992030
232 <NA> 4.386487
233 N 4.147818
234 <NA> 3.837858
235 <NA> 4.116936
236 <NA> 4.244860
237 <NA> 4.082601
238 <NA> 4.186298
239 <NA> 4.114825
240 <NA> 4.180244
241 <NA> 4.236157
242 <NA> 4.149765
243 <NA> 4.198047
244 <NA> 4.096834
245 <NA> 3.721473
246 <NA> 3.947717
247 <NA> 3.966014
248 <NA> 3.883421
249 <NA> 4.005281
250 <NA> 4.046464
251 <NA> 4.111995
252 <NA> 3.919265
253 <NA> 4.316375
254 <NA> 4.168178
255 <NA> 3.796882
256 <NA> 3.787917
257 <NA> 4.014536
258 <NA> 4.183102
259 <NA> 4.167752
260 <NA> 3.911518
261 <NA> 3.989009
262 <NA> 4.029773
263 <NA> 3.652474
264 <NA> 4.242688
265 <NA> 3.974901
266 <NA> 4.074099
267 <NA> 4.365486
268 <NA> 4.129809
269 <NA> 4.379698
270 <NA> 4.197630
271 <NA> 3.961687
272 <NA> 4.263864
273 <NA> 4.196400
274 N 4.155887
275 <NA> 4.145577
276 <NA> 3.961754
277 <NA> 3.780129
278 <NA> 3.980115
279 <NA> 3.914017
280 <NA> 4.188905
281 <NA> 4.320061
282 <NA> 3.958689
283 <NA> 4.129275
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1131 <NA> NA
1132 <NA> NA
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1406 <NA> NAplot full predictions
- What do you think if the predictions? Any better than model 1?
- Do you agree with the Hmax values generated by the model?
- If not, why do you think the model is generating those values? (also see next slide)
DPR data + all predictions
- This may be helpful in answering the last question
Let’s try a new model
- Having Hmax alone vary by population did not produce a very good fit.
- Exercise: Create and fit a model that allows Hmax and k parameters to vary by population
- Plot your results: Any better?
- Perform a model comparison among all 3 models using the
lootechnique shown about: which fits best?
My formula
get the priors
Please review your notes and figure out how to get the possible priors for the formula on the previous slide
prior class coef group resp dpar nlpar lb ub source
student_t(3, 0, 4.2) sigma 0 default
(flat) b delta default
(flat) b Intercept delta (vectorized)
(flat) b Hmax default
(flat) b Intercept Hmax (vectorized)
(flat) b popCC Hmax (vectorized)
(flat) b popDPR Hmax (vectorized)
(flat) b Hmin default
(flat) b Intercept Hmin (vectorized)
(flat) b k default
(flat) b Intercept k (vectorized)
(flat) b popCC k (vectorized)
(flat) b popDPR k (vectorized)Set the priors
What priors should we use?
prior3 <- c(set_prior("normal(5,3)", lb=0, nlpar="Hmin"),
set_prior("normal(60,15)", nlpar="Hmax"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popCC"),
set_prior("normal(0,20)", nlpar="Hmax", coef="popDPR"),
set_prior("gamma(2,2)", nlpar = "k"), # gamma constrains to be > 0
set_prior("normal(0, 1)", nlpar = "k", coef="popCC"),
set_prior("normal(0, 1)", nlpar = "k", coef= "popDPR"),
set_prior("gamma(20, 3)", nlpar="delta")
)model summary
Family: gaussian
Links: mu = identity; sigma = identity
Formula: height_cm ~ Hmax - (Hmax - Hmin) * exp(-(k/100 * day)^delta)
Hmin ~ 1
delta ~ 1
Hmax ~ pop
k ~ pop
Data: datbcd (Number of observations: 907)
Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
total post-warmup draws = 4000
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
Hmin_Intercept 4.04 0.52 3.01 5.05 1.00 3259 2279
delta_Intercept 6.67 0.53 5.66 7.76 1.00 2149 2221
Hmax_Intercept 64.96 1.38 62.33 67.78 1.00 2695 2120
Hmax_popCC -14.57 20.87 -45.37 28.28 1.00 1680 2386
Hmax_popDPR -28.01 8.58 -38.55 -5.96 1.00 2060 1122
k_Intercept 0.67 0.01 0.65 0.69 1.00 2363 2409
k_popCC 0.11 0.10 -0.03 0.34 1.00 1580 2591
k_popDPR 0.32 0.08 0.15 0.45 1.00 1987 1221
Family Specific Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 11.17 0.27 10.67 11.72 1.00 4365 2709
Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
and Tail_ESS are effective sample size measures, and Rhat is the potential
scale reduction factor on split chains (at convergence, Rhat = 1).model plot
pairs
Predictions
Model comparison
Next
- delta + Hmax
- delta + k + Hmax (doesn’t work well…)
- Uncertainty on the predictions
- On to random effects and all pops
- CENSORED DATA?